{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T04:39:00Z","timestamp":1768451940263,"version":"3.49.0"},"reference-count":105,"publisher":"Tsinghua University Press","issue":"2","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,1,3]],"date-time":"2023-01-03T00:00:00Z","timestamp":1672704000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Comp. Visual. Med."],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1007\/s41095-022-0268-6","type":"journal-article","created":{"date-parts":[[2023,1,3]],"date-time":"2023-01-03T15:02:38Z","timestamp":1672758158000},"page":"297-317","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Specificity-preserving RGB-D saliency detection"],"prefix":"10.26599","volume":"9","author":[{"given":"Tao","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China; Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, China"}]},{"given":"Deng-Ping","family":"Fan","sequence":"additional","affiliation":[{"name":"Computer Vision Lab, ETH Z&#x00FC;rich, Z&#x00FC;rich, Switzerland"}]},{"given":"Geng","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, China"}]},{"given":"Yi","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Southeast University, Nanjing, China"}]},{"given":"Huazhu","family":"Fu","sequence":"additional","affiliation":[{"name":"Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates"}]}],"member":"11138","reference":[{"key":"268_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1007\/978-3-319-10578-9_7","volume-title":"Computer Vision \u2014 ECCV 2014","author":"H Peng","year":"2014","unstructured":"Peng, H.; Li, B.; Xiong, W.; Hu, W.; Ji, R. RGBD salient object detection: A benchmark and algorithms. In: Computer Vision \u2014 ECCV 2014. Lecture Notes in Computer Science, Vol. 8691. Fleet, D.; Pajdla, T.; Schiele, B.; Tuytelaars, T. Eds. Springer Cham, 92\u2013109, 2014."},{"issue":"4","key":"268_CR2","doi-asserted-by":"publisher","first-page":"862","DOI":"10.1109\/TPAMI.2014.2353617","volume":"37","author":"J-Y Zhu","year":"2015","unstructured":"Zhu, J.-Y.; Wu, J.-J.; Xu, Y.; Chang, E.; Tu, Z. W. Unsupervised object class discovery via saliency-guided multiple class learning. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 37, No. 4, 862\u2013875, 2015.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"268_CR3","doi-asserted-by":"crossref","unstructured":"Rapantzikos, K.; Avrithis, Y.; Kollias, S. Dense saliency-based spatiotemporal feature points for action recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1454\u20131461, 2009.","DOI":"10.1109\/CVPR.2009.5206525"},{"key":"268_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1007\/978-3-319-46493-0_14","volume-title":"Computer Vision \u2014 ECCV 2016","author":"W Shimoda","year":"2016","unstructured":"Shimoda, W.; Yanai, K. Distinct class-specific saliency maps for weakly supervised semantic segmentation. In: Computer Vision \u2014 ECCV 2016. Lecture Notes in Computer Science, Vol. 9908. Leibe, B.; Matas, J.; Sebe, N.; Welling, M. Eds. Springer Cham, 218\u2013234, 2016."},{"issue":"1","key":"268_CR5","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1109\/TPAMI.2017.2662005","volume":"40","author":"W G Wang","year":"2018","unstructured":"Wang, W. G.; Shen, J. B.; Yang, R. G.; Porikli, F. Saliency-aware video object segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 40, No. 1, 20\u201333, 2018.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"2","key":"268_CR6","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1109\/TPAMI.2016.2544310","volume":"39","author":"R Zhao","year":"2017","unstructured":"Zhao, R.; Oyang, W.; Wang, X. Person re-identification by saliency learning. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 39, No. 2, 356\u2013370, 2017.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"5","key":"268_CR7","doi-asserted-by":"publisher","first-page":"2075","DOI":"10.1109\/TNNLS.2020.2996406","volume":"32","author":"D P Fan","year":"2021","unstructured":"Fan, D. P.; Lin, Z.; Zhang, Z.; Zhu, M. L.; Cheng, M. M. Rethinking RGB-D salient object detection: Models, data sets, and large-scale benchmarks. IEEE Transactions on Neural Networks and Learning Systems Vol. 32, No. 5, 2075\u20132089, 2021.","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"268_CR8","doi-asserted-by":"crossref","unstructured":"Zhang, J.; Fan, D.-P.; Dai, Y. C.; Yu, X.; Zhong, Y. R.; Barnes, N.; Shao, L. RGB-D saliency detection via cascaded mutual information minimization. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 4318\u20134327, 2021.","DOI":"10.1109\/ICCV48922.2021.00430"},{"key":"268_CR9","doi-asserted-by":"crossref","unstructured":"Liu, N.; Zhang, N.; Wan, K. Y.; Shao, L.; Han, J. W. Visual saliency transformer. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 4702\u20134712, 2021.","DOI":"10.1109\/ICCV48922.2021.00468"},{"issue":"1","key":"268_CR10","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1007\/s41095-020-0199-z","volume":"7","author":"T Zhou","year":"2021","unstructured":"Zhou, T.; Fan, D. P.; Cheng, M. M.; Shen, J. B.; Shao, L. RGB-D salient object detection: A survey. Computational Visual Media Vol. 7, No. 1, 37\u201369, 2021.","journal-title":"Computational Visual Media"},{"key":"268_CR11","doi-asserted-by":"publisher","unstructured":"Fu, K. R.; Fan, D. P.; Ji, G. P.; Zhao, Q. J.; Shen, J. B.; Zhu, C. Siamese network for RGB-D salient object detection and beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence doi: https:\/\/doi.org\/10.1109\/TPAMI.2021.3073689, 2021.","DOI":"10.1109\/TPAMI.2021.3073689"},{"key":"268_CR12","doi-asserted-by":"publisher","unstructured":"Zhang, J.; Fan, D.-P.; Dai, Y. C.; Anwar, S., Saleh, F., Aliakbarian, S.; Barnes, N. Uncertainty inspired RGB-D saliency detection. IEEE Transactions on Pattern Analysis and Machine Intelligence doi: https:\/\/doi.org\/10.1109\/TPAMI.2021.3073564, 2021.","DOI":"10.1109\/TPAMI.2021.3073564"},{"issue":"7","key":"268_CR13","doi-asserted-by":"publisher","first-page":"2076","DOI":"10.1007\/s11263-021-01452-0","volume":"129","author":"H Chen","year":"2021","unstructured":"Chen, H.; Li, Y. F.; Deng, Y. J.; Lin, G. S. CNN-based RGB-D salient object detection: Learn, select, and fuse. International Journal of Computer Vision Vol. 129, No. 7, 2076\u20132096, 2021.","journal-title":"International Journal of Computer Vision"},{"key":"268_CR14","doi-asserted-by":"publisher","first-page":"3528","DOI":"10.1109\/TIP.2021.3062689","volume":"30","author":"G Y Li","year":"2021","unstructured":"Li, G. Y.; Liu, Z.; Chen, M. Y.; Bai, Z.; Lin, W. S.; Ling, H. B. Hierarchical alternate interaction network for RGB-D salient object detection. IEEE Transactions on Image Processing Vol. 30, 3528\u20133542, 2021.","journal-title":"IEEE Transactions on Image Processing"},{"key":"268_CR15","doi-asserted-by":"publisher","first-page":"7717","DOI":"10.1109\/TIP.2021.3108412","volume":"30","author":"Y F Zhao","year":"2021","unstructured":"Zhao, Y. F.; Zhao, J. W.; Li, J.; Chen, X. W. RGB-D salient object detection with ubiquitous target awareness. IEEE Transactions on Image Processing Vol. 30, 7717\u20137731, 2021.","journal-title":"IEEE Transactions on Image Processing"},{"key":"268_CR16","doi-asserted-by":"crossref","unstructured":"Ren, J. Q.; Gong, X. J.; Lu, Y.; Zhou, W. H.; Yang, M. Y. Exploiting global priors for RGB-D saliency detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 25\u201332, 2015.","DOI":"10.1109\/CVPRW.2015.7301391"},{"issue":"9","key":"268_CR17","doi-asserted-by":"publisher","first-page":"4204","DOI":"10.1109\/TIP.2017.2711277","volume":"26","author":"H K Song","year":"2017","unstructured":"Song, H. K.; Liu, Z.; Du, H.; Sun, G. L.; Le Meur, O.; Ren, T. W. Depth-aware salient object detection and segmentation via multiscale discriminative saliency fusion and bootstrap learning. IEEE Transactions on Image Processing Vol. 26, No. 9, 4204\u20134216, 2017.","journal-title":"IEEE Transactions on Image Processing"},{"key":"268_CR18","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.neucom.2019.07.012","volume":"363","author":"Z Y Liu","year":"2019","unstructured":"Liu, Z. Y.; Shi, S.; Duan, Q. T.; Zhang, W.; Zhao, P. Salient object detection for RGB-D image by single stream recurrent convolution neural network. Neurocomputing Vol. 363, 46\u201357, 2019.","journal-title":"Neurocomputing"},{"key":"268_CR19","doi-asserted-by":"crossref","unstructured":"Guo, J. F.; Ren, T. W.; Bei, J. Salient object detection for RGB-D image via saliency evolution. In: Proceedings of the IEEE International Conference on Multimedia and Expo, 1\u20136, 2016.","DOI":"10.1109\/ICME.2016.7552907"},{"key":"268_CR20","doi-asserted-by":"publisher","first-page":"55277","DOI":"10.1109\/ACCESS.2019.2913107","volume":"7","author":"N N Wang","year":"2019","unstructured":"Wang, N. N.; Gong, X. J. Adaptive fusion for RGB-D salient object detection. IEEE Access Vol. 7, 55277\u201355284, 2019.","journal-title":"IEEE Access"},{"key":"268_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jvcir.2019.03.019","volume":"61","author":"Y Ding","year":"2019","unstructured":"Ding, Y.; Liu, Z.; Huang, M. K.; Shi, R.; Wang, X. Y. Depth-aware saliency detection using convolutional neural networks. Journal of Visual Communication and Image Representation Vol. 61, 1\u20139, 2019.","journal-title":"Journal of Visual Communication and Image Representation"},{"key":"268_CR22","doi-asserted-by":"crossref","unstructured":"Chen, H.; Li, Y. F. Progressively complementarity-aware fusion network for RGB-D salient object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 3051\u20133060, 2018.","DOI":"10.1109\/CVPR.2018.00322"},{"key":"268_CR23","doi-asserted-by":"crossref","unstructured":"Liu, D.; Hu, Y.; Zhang, K.; Chen, Z. Two-stream refinement network for RGB-D saliency detection. In: Proceedings of the IEEE International Conference on Image Processing, 3925\u20133929, 2019.","DOI":"10.1109\/ICIP.2019.8803653"},{"issue":"6","key":"268_CR24","doi-asserted-by":"publisher","first-page":"2825","DOI":"10.1109\/TIP.2019.2891104","volume":"28","author":"H Chen","year":"2019","unstructured":"Chen, H.; Li, Y. F. Three-stream attention-aware network for RGB-D salient object detection. IEEE Transactions on Image Processing Vol. 28, No. 6, 2825\u20132835, 2019.","journal-title":"IEEE Transactions on Image Processing"},{"issue":"11","key":"268_CR25","doi-asserted-by":"publisher","first-page":"3171","DOI":"10.1109\/TCYB.2017.2761775","volume":"48","author":"J W Han","year":"2018","unstructured":"Han, J. W.; Chen, H.; Liu, N.; Yan, C. G.; Li, X. L. CNNs-based RGB-D saliency detection via cross-view transfer and multiview fusion. IEEE Transactions on Cybernetics Vol. 48, No. 11, 3171\u20133183, 2018.","journal-title":"IEEE Transactions on Cybernetics"},{"key":"268_CR26","doi-asserted-by":"crossref","unstructured":"Chen, H.; Li, Y. F.; Su, D. Attention-aware cross-modal cross-level fusion network for RGB-D salient object detection. In: Proceedings of the IEEE\/RSJ International Conference on Intelligent Robots and Systems, 6821\u20136826, 2018.","DOI":"10.1109\/IROS.2018.8594373"},{"key":"268_CR27","doi-asserted-by":"crossref","unstructured":"Ji, W.; Li, J. J.; Yu, S.; Zhang, M.; Piao, Y. R.; Yao, S. Y.; Bi, Q.; Ma, K.; Zheng, Y.; Lu, H.; et al. Calibrated RGB-D salient object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 9466\u20139476, 2021.","DOI":"10.1109\/CVPR46437.2021.00935"},{"key":"268_CR28","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1016\/j.neucom.2021.04.053","volume":"452","author":"Z Huang","year":"2021","unstructured":"Huang, Z.; Chen, H. X.; Zhou, T.; Yang, Y. Z.; Liu, B. Y. Multi-level cross-modal interaction network for RGB-D salient object detection. Neurocomputing Vol. 452, 200\u2013211, 2021.","journal-title":"Neurocomputing"},{"key":"268_CR29","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1016\/j.patcog.2018.08.007","volume":"86","author":"H Chen","year":"2019","unstructured":"Chen, H.; Li, Y. F.; Su, D. Multi-modal fusion network with multi-scale multi-path and cross-modal interactions for RGB-D salient object detection. Pattern Recognition Vol. 86, 376\u2013385, 2019.","journal-title":"Pattern Recognition"},{"key":"268_CR30","doi-asserted-by":"crossref","unstructured":"Zhao, J.-X.; Cao, Y.; Fan, D.-P.; Cheng, M.-M.; Li, X.-Y.; Zhang, L. Contrast prior and fluid pyramid integration for RGBD salient object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 3922\u20133931, 2019.","DOI":"10.1109\/CVPR.2019.00405"},{"key":"268_CR31","doi-asserted-by":"crossref","unstructured":"Zhu, C. B.; Cai, X.; Huang, K.; Li, T. H.; Li, G. PDNet: Prior-model guided depth-enhanced network for salient object detection. In: Proceedings of the IEEE International Conference on Multimedia and Expo, 199\u2013204, 2019.","DOI":"10.1109\/ICME.2019.00042"},{"key":"268_CR32","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1007\/978-3-030-58610-2_17","volume-title":"Computer Vision \u2014 ECCV 2020","author":"D P Fan","year":"2020","unstructured":"Fan, D. P.; Zhai, Y.; Borji, A.; Yang, J.; Shao, L. BBS-Net: RGB-D salient object detection with a bifurcated backbone strategy network. In: Computer Vision \u2014 ECCV 2020. Lecture Notes in Computer Science, Vol. 12357. Vedaldi, A.; Bischof, H.; Brox, T.; Frahm, J. M. Eds. Springer Cham, 275\u2013292, 2020."},{"key":"268_CR33","doi-asserted-by":"publisher","first-page":"8727","DOI":"10.1109\/TIP.2021.3116793","volume":"30","author":"Y J Zhai","year":"2021","unstructured":"Zhai, Y. J.; Fan, D.-P.; Yang, J. F.; Borji, A.; Shao, L.; Han, J. W.; Wang, L. Bifurcated backbone strategy for RGB-D salient object detection. IEEE Transactions on Image Processing Vol. 30, 8727\u20138742, 2021.","journal-title":"IEEE Transactions on Image Processing"},{"issue":"9","key":"268_CR34","doi-asserted-by":"publisher","first-page":"2281","DOI":"10.1109\/TPAMI.2017.2749576","volume":"40","author":"J L Hu","year":"2018","unstructured":"Hu, J. L.; Lu, J. W.; Tan, Y. P. Sharable and individual multi-view metric learning. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 40, No. 9, 2281\u20132288, 2018.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"268_CR35","doi-asserted-by":"crossref","unstructured":"Lu, Y.; Wu, Y.; Liu, B.; Zhang, T.; Li, B.; Chu, Q.; Yu, N. Cross-modality person re-identification with shared-specific feature transfer. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 13376\u201313386, 2020.","DOI":"10.1109\/CVPR42600.2020.01339"},{"issue":"8","key":"268_CR36","doi-asserted-by":"publisher","first-page":"3517","DOI":"10.1109\/TCYB.2019.2918495","volume":"50","author":"T Zhou","year":"2020","unstructured":"Zhou, T.; Zhang, C.; Peng, X.; Bhaskar, H.; Yang, J. Dual shared-specific multiview subspace clustering. IEEE Transactions on Cybernetics Vol. 50, No. 8, 3517\u20133530, 2020.","journal-title":"IEEE Transactions on Cybernetics"},{"issue":"9","key":"268_CR37","doi-asserted-by":"publisher","first-page":"2772","DOI":"10.1109\/TMI.2020.2975344","volume":"39","author":"T Zhou","year":"2020","unstructured":"Zhou, T.; Fu, H. Z.; Chen, G.; Shen, J. B.; Shao, L. Hi-net: Hybrid-fusion network for multi-modal MR image synthesis. IEEE Transactions on Medical Imaging Vol. 39, No. 9, 2772\u20132781, 2020.","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"268_CR38","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2014 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O.; Fischer, P.; Brox, T. U-Net: Convolutional networks for biomedical image segmentation. In: Medical Image Computing and Computer-Assisted Intervention \u2014 MICCAI 2015. Lecture Notes in Computer Science, Vol. 9351. Navab, N.; Hornegger, J.; Wells, W.; Frangi, A. Eds. Springer Cham, 234\u2013241, 2015."},{"key":"268_CR39","doi-asserted-by":"crossref","unstructured":"Zhou, T.; Fu, H.; Chen, G.; Zhou, Y.; Fan, D.-P.; Shao, L. Specificity-preserving RGB-D saliency detection. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 4661\u20134671, 2021.","DOI":"10.1109\/ICCV48922.2021.00464"},{"key":"268_CR40","doi-asserted-by":"crossref","unstructured":"Zhu, W. J.; Liang, S.; Wei, Y. C.; Sun, J. Saliency optimization from robust background detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2814\u20132821, 2014.","DOI":"10.1109\/CVPR.2014.360"},{"key":"268_CR41","doi-asserted-by":"crossref","unstructured":"Achanta, R.; Hemami, S.; Estrada, F.; Susstrunk, S. Frequency-tuned salient region detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1597\u20131604, 2009.","DOI":"10.1109\/CVPR.2009.5206596"},{"issue":"11","key":"268_CR42","doi-asserted-by":"publisher","first-page":"3308","DOI":"10.1109\/TIP.2015.2438546","volume":"24","author":"L Zhou","year":"2015","unstructured":"Zhou, L.; Yang, Z. H.; Yuan, Q.; Zhou, Z. T.; Hu, D. W. Salient region detection via integrating diffusion-based compactness and local contrast. IEEE Transactions on Image Processing Vol. 24, No. 11, 3308\u20133320, 2015.","journal-title":"IEEE Transactions on Image Processing"},{"key":"268_CR43","doi-asserted-by":"crossref","unstructured":"Jiang, Z. L.; Davis, L. S. Submodular salient region detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2043\u20132050, 2013.","DOI":"10.1109\/CVPR.2013.266"},{"issue":"4","key":"268_CR44","doi-asserted-by":"publisher","first-page":"815","DOI":"10.1109\/TPAMI.2018.2815688","volume":"41","author":"Q B Hou","year":"2019","unstructured":"Hou, Q. B.; Cheng, M. M.; Hu, X. W.; Borji, A.; Tu, Z. W.; Torr, P. H. S. Deeply supervised salient object detection with short connections. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 41, No. 4, 815\u2013828, 2019.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"7","key":"268_CR45","doi-asserted-by":"publisher","first-page":"1734","DOI":"10.1109\/TPAMI.2018.2846598","volume":"41","author":"L Z Wang","year":"2019","unstructured":"Wang, L. Z.; Wang, L. J.; Lu, H. C.; Zhang, P. P.; Ruan, X. Salient object detection with recurrent fully convolutional networks. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 41, No. 7, 1734\u20131746, 2019.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"268_CR46","doi-asserted-by":"crossref","unstructured":"Liu, N.; Han, J.; Yang, M. PiCANet: Learning pixel-wise contextual attention for saliency detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 3089\u20133098, 2018.","DOI":"10.1109\/CVPR.2018.00326"},{"key":"268_CR47","doi-asserted-by":"crossref","unstructured":"Deng, Z.; Hu, X.; Zhu, L.; Xu, X.; Qin, J.; Han, G.; Heng, P.-A. R3Net: Recurrent residual refinement network for saliency detection. In: Proceedings of the 27th International Joint Conference on Artificial Intelligence, 684\u2013690, 2018.","DOI":"10.24963\/ijcai.2018\/95"},{"issue":"6","key":"268_CR48","doi-asserted-by":"publisher","first-page":"3239","DOI":"10.1109\/TPAMI.2021.3051099","volume":"44","author":"W Wang","year":"2022","unstructured":"Wang, W.; Lai, Q.; Fu, H.; Shen, J.; Ling, H.; Yang, R. Salient object detection in the deep learning era: An in-depth survey. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 44, No. 6, 3239\u20133259, 2022.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"1","key":"268_CR49","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1109\/TIP.2017.2756825","volume":"27","author":"X Wang","year":"2018","unstructured":"Wang, X.; Ma, H.; Chen, X.; You, S. Edge preserving and multi-scale contextual neural network for salient object detection. IEEE Transactions on Image Processing Vol. 27, No. 1, 121\u2013134, 2018.","journal-title":"IEEE Transactions on Image Processing"},{"key":"268_CR50","doi-asserted-by":"crossref","unstructured":"Zhang, P. P.; Wang, D.; Lu, H. C.; Wang, H. Y.; Ruan, X. Amulet: Aggregating multi-level convolutional features for salient object detection. In: Proceedings of the IEEE International Conference on Computer Vision, 202\u2013211, 2017.","DOI":"10.1109\/ICCV.2017.31"},{"key":"268_CR51","doi-asserted-by":"crossref","unstructured":"Zhang, L.; Dai, J.; Lu, H. C.; He, Y.; Wang, G. A bi-directional message passing model for salient object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 1741\u20131750, 2018.","DOI":"10.1109\/CVPR.2018.00187"},{"key":"268_CR52","doi-asserted-by":"crossref","unstructured":"Pang, Y. W.; Zhao, X. Q.; Zhang, L. H.; Lu, H. C. Multi-scale interactive network for salient object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 9410\u20139419, 2020.","DOI":"10.1109\/CVPR42600.2020.00943"},{"key":"268_CR53","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1007\/978-3-642-33709-3_8","volume-title":"Computer Vision \u2014 ECCV 2012","author":"C Lang","year":"2012","unstructured":"Lang, C.; Nguyen, T. V.; Katti, H.; Yadati, K.; Kankanhalli, M.; Yan, S. Depth matters: Influence of depth cues on visual saliency. In: Computer Vision \u2014 ECCV 2012. Lecture Notes in Computer Science, Vol. 7573. Fitzgibbon, A.; Lazebnik, S.; Perona, P.; Sato, Y.; Schmid, C. Eds. Springer Berlin Heidelberg, 101\u2013115, 2012."},{"key":"268_CR54","doi-asserted-by":"crossref","unstructured":"Ju, R.; Ge, L.; Geng, W.; Ren, T.; Wu, G. Depth saliency based on anisotropic center-surround difference. In: Proceedings of the IEEE International Conference on Image Processing, 1115\u20131119, 2014.","DOI":"10.1109\/ICIP.2014.7025222"},{"key":"268_CR55","doi-asserted-by":"crossref","unstructured":"Desingh, K.; Krishna, K. M.; Rajan, D.; Jawahar, C. V. Depth really matters: Improving visual salient region detection with depth. In: Proceedings of the British Machine Vision Conference, 98.1\u201398.11, 2013.","DOI":"10.5244\/C.27.98"},{"key":"268_CR56","doi-asserted-by":"crossref","unstructured":"Zhu, C. B.; Li, G.; Wang, W. M.; Wang, R. G. An innovative salient object detection using center-dark channel prior. In: Proceedings of the IEEE International Conference on Computer Vision Workshops, 1509\u20131515, 2017.","DOI":"10.1109\/ICCVW.2017.178"},{"key":"268_CR57","doi-asserted-by":"publisher","first-page":"2227","DOI":"10.1016\/j.neucom.2017.10.052","volume":"275","author":"F F Liang","year":"2018","unstructured":"Liang, F. F.; Duan, L. J.; Ma, W.; Qiao, Y. H.; Cai, Z.; Qing, L. Y. Stereoscopic saliency model using contrast and depth-guided-background prior. Neurocomputing Vol. 275, 2227\u20132238, 2018.","journal-title":"Neurocomputing"},{"key":"268_CR58","doi-asserted-by":"crossref","unstructured":"Feng, D.; Barnes, N.; You, S. D.; McCarthy, C. Local background enclosure for RGB-D salient object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2343\u20132350, 2016.","DOI":"10.1109\/CVPR.2016.257"},{"issue":"5","key":"268_CR59","doi-asserted-by":"publisher","first-page":"2274","DOI":"10.1109\/TIP.2017.2682981","volume":"26","author":"L Q Qu","year":"2017","unstructured":"Qu, L. Q.; He, S. F.; Zhang, J. W.; Tian, J. D.; Tang, Y. D.; Yang, Q. X. RGBD salient object detection via deep fusion. IEEE Transactions on Image Processing Vol. 26, No. 5, 2274\u20132285, 2017.","journal-title":"IEEE Transactions on Image Processing"},{"key":"268_CR60","doi-asserted-by":"crossref","unstructured":"Piao, Y. R.; Ji, W.; Li, J. J.; Zhang, M.; Lu, H. C. Depth-induced multi-scale recurrent attention network for saliency detection. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 7253\u20137262, 2019.","DOI":"10.1109\/ICCV.2019.00735"},{"key":"268_CR61","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1007\/978-3-030-58598-3_14","volume-title":"Computer Vision \u2014 ECCV 2020","author":"C Y Li","year":"2020","unstructured":"Li, C. Y.; Cong, R. M.; Piao, Y. R.; Xu, Q. Q.; Loy, C. C. RGB-D salient object detection with cross-modality modulation and selection. In: Computer Vision \u2014 ECCV 2020. Lecture Notes in Computer Science, Vol. 12353. Vedaldi, A.; Bischof, H.; Brox, T.; Frahm, J. M. Eds. Springer Cham, 225\u2013241, 2020."},{"key":"268_CR62","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1007\/978-3-030-58520-4_39","volume-title":"Computer Vision \u2014 ECCV 2020","author":"G Y Li","year":"2020","unstructured":"Li, G. Y.; Liu, Z.; Ye, L. W.; Wang, Y.; Ling, H. B. Cross-modal weighting network for RGB-D salient object detection. In: Computer Vision \u2014 ECCV 2020. Lecture Notes in Computer Science, Vol. 12362. Vedaldi, A.; Bischof, H.; Brox, T.; Frahm, J. M. Eds. Springer Cham, 665\u2013681, 2020."},{"key":"268_CR63","doi-asserted-by":"crossref","unstructured":"Chaudhuri, K.; Kakade, S. M.; Livescu, K.; Sridharan, K. Multi-view clustering via canonical correlation analysis. In: Proceedings of the 26th Annual International Conference on Machine Learning, 129\u2013136, 2009.","DOI":"10.1145\/1553374.1553391"},{"issue":"11","key":"268_CR64","doi-asserted-by":"publisher","first-page":"2049","DOI":"10.1109\/TMM.2015.2477042","volume":"17","author":"C X Ding","year":"2015","unstructured":"Ding, C. X.; Tao, D. C. Robust face recognition via multimodal deep face representation. IEEE Transactions on Multimedia Vol. 17, No. 11, 2049\u20132058, 2015.","journal-title":"IEEE Transactions on Multimedia"},{"key":"268_CR65","first-page":"2211","volume":"12","author":"M G\u00f6nen","year":"2011","unstructured":"G\u00f6nen, M.; Alpayd\u0131n, E. Multiple kernel learning algorithms. The Journal of Machine Learning Research Vol. 12, 2211\u20132268, 2011.","journal-title":"The Journal of Machine Learning Research"},{"key":"268_CR66","unstructured":"White, M.; Yu, Y.; Zhang, X.; Schuurmans, D. Convex multi-view subspace learning. In: Proceedings of the 25th International Conference on Neural Information Processing Systems, Vol. 1, 1673\u20131681, 2012."},{"key":"268_CR67","doi-asserted-by":"crossref","unstructured":"Zhang, C. Q.; Hu, Q. H.; Fu, H. Z.; Zhu, P. F.; Cao, X. C. Latent multi-view subspace clustering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 4333\u20134341, 2017.","DOI":"10.1109\/CVPR.2017.461"},{"key":"268_CR68","unstructured":"Ngiam, J.; Khosla, A.; Kim, M.; Nam, J.; Lee, H.; Ng, A. Multimodal deep learning. In: Proceedings of the 28th International Conference on International Conference on Machine Learning, 689\u2013696, 2011."},{"key":"268_CR69","doi-asserted-by":"crossref","unstructured":"Eitel, A.; Springenberg, J. T.; Spinello, L.; Riedmiller, M.; Burgard, W. Multimodal deep learning for robust RGB-D object recognition. In: Proceedings of the IEEE\/RSJ International Conference on Intelligent Robots and Systems, 681\u2013687, 2015.","DOI":"10.1109\/IROS.2015.7353446"},{"issue":"2","key":"268_CR70","doi-asserted-by":"publisher","first-page":"652","DOI":"10.1109\/TPAMI.2019.2938758","volume":"43","author":"S H Gao","year":"2021","unstructured":"Gao, S. H.; Cheng, M. M.; Zhao, K.; Zhang, X. Y.; Yang, M. H.; Torr, P. Res2Net: A new multi-scale backbone architecture. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 43, No. 2, 652\u2013662, 2021.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"3","key":"268_CR71","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky, O.; Deng, J.; Su, H.; Krause, J.; Satheesh, S.; Ma, S.; Huang, Z.; Karpathy, A.; Khosla, A.; Bernstein, M.; et al. ImageNet large scale visual recognition challenge. International Journal of Computer Vision Vol. 115, No. 3, 211\u2013252, 2015.","journal-title":"International Journal of Computer Vision"},{"key":"268_CR72","doi-asserted-by":"crossref","unstructured":"Wu, Z.; Su, L.; Huang, Q. M. Cascaded partial decoder for fast and accurate salient object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 3902\u20133911, 2019.","DOI":"10.1109\/CVPR.2019.00403"},{"issue":"7","key":"268_CR73","doi-asserted-by":"publisher","first-page":"12321","DOI":"10.1609\/aaai.v34i07.6916","volume":"34","author":"J Wei","year":"2020","unstructured":"Wei, J.; Wang, S.; Huang, Q. F3Net: Fusion, feedback and focus for salient object detection. Proceedings of the AAAI Conference on Artificial Intelligence Vol. 34, No. 7, 12321\u201312328, 2020.","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"268_CR74","doi-asserted-by":"crossref","unstructured":"Cheng, Y. P.; Fu, H. Z.; Wei, X. X.; Xiao, J. J.; Cao, X. C. Depth enhanced saliency detection method. In: Proceedings of the International Conference on Internet Multimedia Computing and Service, 23\u201327, 2014.","DOI":"10.1145\/2632856.2632866"},{"key":"268_CR75","doi-asserted-by":"crossref","unstructured":"Li, G.; Zhu, C. B. A three-pathway psychobiological framework of salient object detection using stereoscopic technology. In: Proceedings of the IEEE International Conference on Computer Vision Workshops, 3008\u20133014, 2017.","DOI":"10.1109\/ICCVW.2017.355"},{"key":"268_CR76","unstructured":"Niu, Y. Z.; Geng, Y. J.; Li, X. Q.; Liu, F. Leveraging stereopsis for saliency analysis. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 454\u2013461, 2012."},{"issue":"9","key":"268_CR77","doi-asserted-by":"publisher","first-page":"2622","DOI":"10.1007\/s11263-021-01490-8","volume":"129","author":"M M Cheng","year":"2021","unstructured":"Cheng, M. M.; Fan, D. P. Structure-measure: A new way to evaluate foreground maps. International Journal of Computer Vision Vol. 129, No. 9, 2622\u20132638, 2021.","journal-title":"International Journal of Computer Vision"},{"key":"268_CR78","doi-asserted-by":"crossref","unstructured":"Fan, D.-P.; Gong, C.; Cao, Y.; Ren, B.; Cheng, M.-M.; Borji, A. Enhanced-alignment measure for binary foreground map valuation. In: Proceedings of the 27th International Joint Conference on Artificial Intelligence, 698\u2013704, 2018.","DOI":"10.24963\/ijcai.2018\/97"},{"key":"268_CR79","doi-asserted-by":"crossref","unstructured":"Perazzi, F.; Kr\u00e4henb\u00fchl, P.; Pritch, Y.; Hornung, A. Saliency filters: Contrast based filtering for salient region detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 733\u2013740, 2012.","DOI":"10.1109\/CVPR.2012.6247743"},{"issue":"6","key":"268_CR80","doi-asserted-by":"publisher","first-page":"819","DOI":"10.1109\/LSP.2016.2557347","volume":"23","author":"R M Cong","year":"2016","unstructured":"Cong, R. M.; Lei, J. J.; Zhang, C. Q.; Huang, Q. M.; Cao, X. C.; Hou, C. P. Saliency detection for stereoscopic images based on depth confidence analysis and multiple cues fusion. IEEE Signal Processing Letters Vol. 23, No. 6, 819\u2013823, 2016.","journal-title":"IEEE Signal Processing Letters"},{"issue":"8","key":"268_CR81","doi-asserted-by":"publisher","first-page":"3627","DOI":"10.1109\/TCYB.2019.2932005","volume":"50","author":"R M Cong","year":"2020","unstructured":"Cong, R. M.; Lei, J. J.; Fu, H. Z.; Hou, J. H.; Huang, Q. M.; Kwong, S. Going from RGB to RGBD saliency: A depth-guided transformation model. IEEE Transactions on Cybernetics Vol. 50, No. 8, 3627\u20133639, 2020.","journal-title":"IEEE Transactions on Cybernetics"},{"key":"268_CR82","doi-asserted-by":"publisher","first-page":"1343","DOI":"10.1109\/TMM.2020.2997184","volume":"23","author":"B Jiang","year":"2021","unstructured":"Jiang, B.; Zhou, Z. T.; Wang, X.; Tang, J.; Luo, B. cmSalGAN: RGB-D salient object detection with cross-view generative adversarial networks. IEEE Transactions on Multimedia Vol. 23, 1343\u20131353, 2021.","journal-title":"IEEE Transactions on Multimedia"},{"issue":"1","key":"268_CR83","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1109\/TCYB.2020.2969255","volume":"51","author":"C Y Li","year":"2021","unstructured":"Li, C. Y.; Cong, R. M.; Kwong, S.; Hou, J. H.; Fu, H. Z.; Zhu, G. P.; Zhang, D.; Huang, Q. ASIF-Net: Attention steered interweave fusion network for RGB-D salient object detection. IEEE Transactions on Cybernetics Vol. 51, No. 1, 88\u2013100, 2021.","journal-title":"IEEE Transactions on Cybernetics"},{"key":"268_CR84","doi-asserted-by":"publisher","first-page":"4873","DOI":"10.1109\/TIP.2020.2976689","volume":"29","author":"G Li","year":"2020","unstructured":"Li, G.; Liu, Z.; Ling, H. ICNet: Information conversion network for RGB-D based salient object detection. IEEE Transactions on Image Processing Vol. 29, 4873\u20134884, 2020.","journal-title":"IEEE Transactions on Image Processing"},{"key":"268_CR85","doi-asserted-by":"crossref","unstructured":"Piao, Y. R.; Rong, Z. K.; Zhang, M.; Ren, W. S.; Lu, H. C. A2dele: Adaptive and attentive depth distiller for efficient RGB-D salient object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 9057\u20139066, 2020.","DOI":"10.1109\/CVPR42600.2020.00908"},{"key":"268_CR86","doi-asserted-by":"crossref","unstructured":"Liu, N.; Zhang, N.; Han, J. W. Learning selective self-mutual attention for RGB-D saliency detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 13753\u201313762, 2020.","DOI":"10.1109\/CVPR42600.2020.01377"},{"key":"268_CR87","doi-asserted-by":"crossref","unstructured":"Zhang, M.; Ren, W. S.; Piao, Y. R.; Rong, Z. K.; Lu, H. C. Select, supplement and focus for RGB-D saliency detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 3469\u20133478, 2020.","DOI":"10.1109\/CVPR42600.2020.00353"},{"key":"268_CR88","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1007\/978-3-030-58595-2_15","volume-title":"Computer Vision \u2014 ECCV 2020","author":"Y Pang","year":"2020","unstructured":"Pang, Y.; Zhang, L.; Zhao, X.; Lu, H. Hierarchical dynamic filtering network for RGB-D salient object detection. In: Computer Vision \u2014 ECCV 2020. Lecture Notes in Computer Science, Vol. 12370. Vedaldi, A.; Bischof, H.; Brox, T.; Frahm, J. M. Eds. Springer Cham, 235\u2013252, 2020."},{"key":"268_CR89","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1007\/978-3-030-58610-2_21","volume-title":"Computer Vision \u2014 ECCV 2020","author":"A Luo","year":"2020","unstructured":"Luo, A.; Li, X.; Yang, F.; Jiao, Z.; Cheng, H.; Lyu, S. Cascade graph neural networks for RGB-D salient object detection. In: Computer Vision \u2014 ECCV 2020. Lecture Notes in Computer Science, Vol. 12357. Vedaldi, A.; Bischof, H.; Brox, T.; Frahm, J. M. Eds. Springe Cham, 346\u2013364, 2020."},{"key":"268_CR90","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1007\/978-3-030-58523-5_4","volume-title":"Computer Vision \u2014 ECCV 2020","author":"W Ji","year":"2020","unstructured":"Ji, W.; Li, J.; Zhang, M.; Piao, Y.; Lu, H. Accurate RGB-D salient object detection via collaborative learning. In: Computer Vision \u2014 ECCV 2020. Lecture Notes in Computer Science, Vol. 12363. Vedaldi, A.; Bischof, H.; Brox, T.; Frahm, J. M. Eds. Springer Cham, 52\u201369, 2020."},{"key":"268_CR91","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"646","DOI":"10.1007\/978-3-030-58542-6_39","volume-title":"Computer Vision \u2014 ECCV 2020","author":"X Zhao","year":"2020","unstructured":"Zhao, X.; Zhang, L.; Pang, Y.; Lu, H.; Zhang, L. A single stream network for robust and real-time RGBD salient object detection. In: Computer Vision \u2014 ECCV 2020. Lecture Notes in Computer Science, Vol. 12367. Vedaldi, A.; Bischof, H.; Brox, T.; Frahm, J. M. Eds. Springer Cham, 646\u2013662, 2020."},{"key":"268_CR92","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1007\/978-3-030-58598-3_31","volume-title":"Computer Vision \u2014 ECCV 2020","author":"S Chen","year":"2020","unstructured":"Chen, S.; Fu, Y. Progressively guided alternate refinement network for RGB-D salient object detection. In: Computer Vision \u2014 ECCV 2020. Lecture Notes in Computer Science, Vol. 12353. Vedaldi, A.; Bischof, H.; Brox, T.; Frahm, J. M. Eds. Springer Cham, 520\u2013538, 2020."},{"key":"268_CR93","doi-asserted-by":"crossref","unstructured":"Lin, T. Y.; Doll\u00e1r, P.; Girshick, R.; He, K. M.; Hariharan, B.; Belongie, S. Feature pyramid networks for object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 936\u2013944, 2017.","DOI":"10.1109\/CVPR.2017.106"},{"key":"268_CR94","doi-asserted-by":"crossref","unstructured":"He, K. M.; Gkioxari, G.; Doll\u00e1r, P.; Girshick, R. Mask R-CNN. In: Proceedings of the IEEE International Conference on Computer Vision, 2980\u20132988, 2017.","DOI":"10.1109\/ICCV.2017.322"},{"key":"268_CR95","doi-asserted-by":"crossref","unstructured":"Zhao, H. S.; Shi, J. P.; Qi, X. J.; Wang, X. G.; Jia, J. Y. Pyramid scene parsing network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 6230\u20136239, 2017.","DOI":"10.1109\/CVPR.2017.660"},{"key":"268_CR96","doi-asserted-by":"crossref","unstructured":"Qin, X. B.; Zhang, Z. C.; Huang, C. Y.; Gao, C.; Dehghan, M.; Jagersand, M. BASNet: Boundary-aware salient object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 7471\u20137481, 2019.","DOI":"10.1109\/CVPR.2019.00766"},{"key":"268_CR97","doi-asserted-by":"crossref","unstructured":"Zhao, T.; Wu, X. Q. Pyramid feature attention network for saliency detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 3080\u20133089, 2019.","DOI":"10.1109\/CVPR.2019.00320"},{"key":"268_CR98","doi-asserted-by":"crossref","unstructured":"Wu, Z.; Su, L.; Huang, Q. M. Cascaded partial decoder for fast and accurate salient object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 3902\u20133911, 2019.","DOI":"10.1109\/CVPR.2019.00403"},{"key":"268_CR99","doi-asserted-by":"crossref","unstructured":"Zhao, J. X.; Liu, J. J.; Fan, D. P.; Cao, Y.; Yang, J. F.; Cheng, M. M. EGNet: Edge guidance network for salient object detection. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 8778\u20138787, 2019.","DOI":"10.1109\/ICCV.2019.00887"},{"key":"268_CR100","doi-asserted-by":"publisher","unstructured":"Fan, D.-P.; Ji, G.-P.; Cheng, M.-M.; Shao, L. Concealed object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence doi: https:\/\/doi.org\/10.1109\/TPAMI.2021.3085766, 2021.","DOI":"10.1109\/TPAMI.2021.3085766"},{"key":"268_CR101","doi-asserted-by":"crossref","unstructured":"Sun, Y. J.; Chen, G.; Zhou, T.; Zhang, Y.; Liu, N. Context-aware cross-level fusion network for camouflaged object detection. In: Proceedings of the 30th International Joint Conference on Artificial Intelligence, 1025\u20131031, 2021.","DOI":"10.24963\/ijcai.2021\/142"},{"issue":"4","key":"268_CR102","doi-asserted-by":"publisher","first-page":"2303","DOI":"10.1109\/TCSVT.2021.3093890","volume":"32","author":"L Li","year":"2022","unstructured":"Li, L.; Dong, B.; Rigall, E.; Zhou, T.; Dong, J. Y.; Chen, G. Marine animal segmentation. IEEE Transactions on Circuits and Systems for Video Technology Vol. 32, No. 4, 2303\u20132314, 2022.","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"268_CR103","unstructured":"Zhang, J.; Lv, Y.; Xiang, M.; Li, A.; Dai, Y.; Zhong, Y. Depth confidence-aware camouflaged object detection. arXiv preprint arXiv:2106.13217, 2021."},{"key":"268_CR104","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.cviu.2019.04.006","volume":"184","author":"T N Le","year":"2019","unstructured":"Le, T. N.; Nguyen, T. V.; Nie, Z. L.; Tran, M. T.; Sugimoto, A. Anabranch network for camouflaged object segmentation. Computer Vision and Image Understanding Vol. 184, 45\u201356, 2019.","journal-title":"Computer Vision and Image Understanding"},{"key":"268_CR105","doi-asserted-by":"crossref","unstructured":"Fan, D.-P.; Ji, G.-P.; Sun, G.; Cheng, M.-M.; Shen, J.; Shao, L. Camouflaged object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2774\u20132784, 2020.","DOI":"10.1109\/CVPR42600.2020.00285"}],"container-title":["Computational Visual Media"],"original-title":[],"link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41095-022-0268-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s41095-022-0268-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41095-022-0268-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10750449\/10897654\/10897661.pdf?arnumber=10897661","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T18:38:46Z","timestamp":1762367926000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10897661\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6]]},"references-count":105,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1007\/s41095-022-0268-6","relation":{},"ISSN":["2096-0662","2096-0433"],"issn-type":[{"value":"2096-0662","type":"electronic"},{"value":"2096-0433","type":"print"}],"subject":[],"published":{"date-parts":[[2023,6]]},"assertion":[{"value":"19 October 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 January 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 January 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}