{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T23:39:11Z","timestamp":1783467551443,"version":"3.55.0"},"reference-count":78,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2025,3,18]],"date-time":"2025-03-18T00:00:00Z","timestamp":1742256000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,3,18]],"date-time":"2025-03-18T00:00:00Z","timestamp":1742256000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1007\/s00371-025-03859-z","type":"journal-article","created":{"date-parts":[[2025,3,18]],"date-time":"2025-03-18T07:23:16Z","timestamp":1742282596000},"page":"8121-8137","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Lightweight hybrid attention RGB-D networks for accurate camouflaged object detection"],"prefix":"10.1007","volume":"41","author":[{"given":"Yang","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuhan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haonan","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shiyu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,3,18]]},"reference":[{"key":"3859_CR1","doi-asserted-by":"publisher","first-page":"3804","DOI":"10.1109\/TIP.2021.3065239","volume":"30","author":"Y Liu","year":"2021","unstructured":"Liu, Y., Zhang, X.-Y., Bian, J.-W., Zhang, L., Cheng, M.-M.: Samnet: Stereoscopically attentive multi-scale network for lightweight salient object detection. IEEE Trans. Image Process. 30, 3804\u20133814 (2021)","journal-title":"IEEE Trans. Image Process."},{"issue":"5","key":"3859_CR2","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1016\/j.vrih.2022.08.005","volume":"4","author":"LI Chuxuan","year":"2022","unstructured":"Chuxuan, L.I., Ran, Y.I., Ali, S.G., Lizhuang, M.A., Enhua, W.U., Wang, J., Mao, L., Sheng, B.: Radepthnet:reflectance-aware monocular depth estimation. Virtual Real. Intell. Hardw. 4(5), 418\u2013431 (2022)","journal-title":"Virtual Real. Intell. Hardw."},{"issue":"12","key":"3859_CR3","doi-asserted-by":"publisher","first-page":"3446","DOI":"10.1109\/TMI.2021.3087857","volume":"4","author":"R Liu","year":"2021","unstructured":"Liu, R., Liu, M., Sheng, B., Li, H., Li, P., Song, H., Zhang, P., Jiang, L., Shen, D.: Nhbs-net: A feature fusion attention network for ultrasound neonatal hip bone segmentation. IEEE Trans. Med. Imaging 4(12), 3446\u20133458 (2021)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"3859_CR4","doi-asserted-by":"publisher","first-page":"1224","DOI":"10.1109\/TCSVT.2021.3077058","volume":"32","author":"W Zhou","year":"2022","unstructured":"Zhou, W., Guo, Q., Lei, J.-S., Yu, L., Hwang, J.-N.: Ecffnet: Effective and consistent feature fusion network for rgb-t salient object detection. IEEE Trans. Circuits Syst. Video Technol. 32, 1224\u20131235 (2022)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"3859_CR5","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 Trans. Image Process. 29, 4873\u20134884 (2020)","journal-title":"IEEE Trans. Image Process."},{"key":"3859_CR6","doi-asserted-by":"crossref","unstructured":"Kim, D.M., Ahn, J.H., Kim, S.W., Lee, J.M., Kim, M., Han, J.H.: Real-time reconstruction of pipes using rgb-d cameras. Computer Animation and Virtual Worlds (2023)","DOI":"10.1002\/cav.2197"},{"key":"3859_CR7","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition, in. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016, 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"issue":"2","key":"3859_CR8","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 Trans. Pattern Anal. Mach. Intell. 43(2), 652\u2013662 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3859_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2021.104283","volume":"114","author":"X Xu","year":"2021","unstructured":"Xu, X., Zhu, M., Yu, J., Chen, S., Hu, X., Yang, Y.: Boundary guidance network for camouflage object detection. Image and Vision Computing. 114, 104283 (2021)","journal-title":"Image and Vision Computing."},{"key":"3859_CR10","doi-asserted-by":"crossref","unstructured":"Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., Chen, L.-C.: Mobilenetv 2: Inverted residuals and linear bottlenecks, in: Conference on Computer Vision and Pattern Recognition pp. 4510\u20134520 (2018)","DOI":"10.1109\/CVPR.2018.00474"},{"key":"3859_CR11","doi-asserted-by":"publisher","first-page":"1329","DOI":"10.1109\/TIP.2023.3242775","volume":"32","author":"W Zhou","year":"2023","unstructured":"Zhou, W., Zhu, Y., Lei, J., Yang, R., Yu, L.: Lsnet: Lightweight spatial boosting network for detecting salient objects in rgb-thermal images. IEEE Trans. Image Process. 32, 1329\u20131340 (2023)","journal-title":"IEEE Trans. Image Process."},{"issue":"8","key":"3859_CR12","doi-asserted-by":"publisher","first-page":"4499","DOI":"10.1109\/TNNLS.2021.3116209","volume":"34","author":"Z Xie","year":"2023","unstructured":"Xie, Z., Zhang, W., Sheng, B., Li, P., Chen, C.L.P.: Bagfn: Broad attentive graph fusion network for high-order feature interactions. IEEE Trans. Neural Networks Learni. Syst. 34(8), 4499\u20134513 (2023)","journal-title":"IEEE Trans. Neural Networks Learni. Syst."},{"key":"3859_CR13","doi-asserted-by":"crossref","unstructured":"Xing, H., Gao, S., Tang, H., Mok, T.Q., Kang, Y., Zhang, W.: Tinycod: Tiny and effective model for camouflaged object detection, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1\u20135 (2023)","DOI":"10.1109\/ICASSP49357.2023.10095226"},{"key":"3859_CR14","doi-asserted-by":"crossref","unstructured":"Lv, Y., Zhang, J., Dai, Y., Li, A., Liu, B., Barnes, N., Fan, D.-P.: Simultaneously localize, segment and rank the camouflaged objects, in: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 11586\u201311596 (2021)","DOI":"10.1109\/CVPR46437.2021.01142"},{"key":"3859_CR15","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/TMM.2021.3120873","volume":"25","author":"X Lin","year":"2023","unstructured":"Lin, X., Sun, S., Huang, W., Sheng, B., Li, P., Feng, D.D.: Eapt: Efficient attention pyramid transformer for image processing. IEEE Trans. Multimedia 25, 50\u201361 (2023)","journal-title":"IEEE Trans. Multimedia"},{"key":"3859_CR16","doi-asserted-by":"crossref","unstructured":"Fan, D.-P., Ji, G.-P., Sun, G., Cheng, M.-M., Shen, J., Shao, L.: Camouflaged object detection, in: Conference on Computer Vision and Pattern Recognition pp. 2777\u20132787 (2020)","DOI":"10.1109\/CVPR42600.2020.00285"},{"issue":"10","key":"3859_CR17","doi-asserted-by":"publisher","first-page":"6024","DOI":"10.1109\/TPAMI.2021.3085766","volume":"44","author":"D-P Fan","year":"2021","unstructured":"Fan, D.-P., Ji, G.-P., Cheng, M.-M., Shao, L.: Concealed object detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(10), 6024\u20136042 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3859_CR18","doi-asserted-by":"crossref","unstructured":"Pang, Y., Zhao, X., Xiang, T.-Z., Zhang, L., Lu, H.: Zoom in and out: A mixed-scale triplet network for camouflaged object detection, in: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2150\u20132160 (2022)","DOI":"10.1109\/CVPR52688.2022.00220"},{"key":"3859_CR19","doi-asserted-by":"crossref","unstructured":"Huang, Z., Dai, H., Xiang, T.-Z., Wang, S., Chen, H.-X., Qin, J., Xiong, H.: Feature shrinkage pyramid for camouflaged object detection with transformers, in: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5557\u20135566 (2023)","DOI":"10.1109\/CVPR52729.2023.00538"},{"key":"3859_CR20","doi-asserted-by":"crossref","unstructured":"Khan, A., Khan, M., Gueaieb, W., El\u00a0Saddik, A., De\u00a0Masi, G., Karray, F.: Camofocus: Enhancing camouflage object detection with split-feature focal modulation and context refinement, in: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 1434\u20131443 (2024)","DOI":"10.1109\/WACV57701.2024.00146"},{"key":"3859_CR21","doi-asserted-by":"crossref","unstructured":"Lang, C., Nguyen, T.V., Katti, H., Yadati, K., Kankanhalli, M., Yan, S.: Depth matters: Influence of depth cues on visual saliency, in: European Conference on Computer Vision, pp. 101\u2013115 (2012)","DOI":"10.1007\/978-3-642-33709-3_8"},{"issue":"5","key":"3859_CR22","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., Cheng, M.-M.: Rethinking rgb-d salient object detection: Models, data sets, and large-scale benchmarks. IEEE Trans. Neural Networks Learn. Syst. 32(5), 2075\u20132089 (2021)","journal-title":"IEEE Trans. Neural Networks Learn. Syst."},{"issue":"9","key":"3859_CR23","doi-asserted-by":"publisher","first-page":"4204","DOI":"10.1109\/TIP.2017.2711277","volume":"26","author":"H Song","year":"2017","unstructured":"Song, H., Liu, Z., Du, H., Sun, G., Le Meur, O., Ren, T.: Depth-aware salient object detection and segmentation via multiscale discriminative saliency fusion and bootstrap learning. IEEE Trans. Image Process. 26(9), 4204\u20134216 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"3859_CR24","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 Trans. Image Process. 29, 4873\u20134884 (2020)","journal-title":"IEEE Trans. Image Process."},{"issue":"11","key":"3859_CR25","doi-asserted-by":"publisher","first-page":"3171","DOI":"10.1109\/TCYB.2017.2761775","volume":"48","author":"J Han","year":"2018","unstructured":"Han, J., Chen, H., Liu, N., Yan, C., Li, X.: Cnns-based rgb-d saliency detection via cross-view transfer and multiview fusion. IEEE Trans. Cybern. 48(11), 3171\u20133183 (2018)","journal-title":"IEEE Trans. Cybern."},{"key":"3859_CR26","doi-asserted-by":"crossref","unstructured":"Ji, W., Li, J., Yu, S., Zhang, M., Piao, Y., Yao, S., Bi, Q., Ma, K., Zheng, Y., Lu, H., Cheng, L.: Calibrated rgb-d salient object detection, in. IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021, 9466\u20139476 (2021)","DOI":"10.1109\/CVPR46437.2021.00935"},{"issue":"1","key":"3859_CR27","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1109\/TPAMI.2023.3324807","volume":"46","author":"L Li","year":"2024","unstructured":"Li, L., Han, J., Liu, N., Khan, S., Cholakkal, H., Anwer, R.M., Khan, F.S.: Robust perception and precise segmentation for scribble-supervised rgb-d saliency detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(1), 479\u2013496 (2024)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3859_CR28","doi-asserted-by":"publisher","first-page":"1651","DOI":"10.1109\/TMM.2021.3069297","volume":"24","author":"N Huang","year":"2022","unstructured":"Huang, N., Yang, Y., Zhang, D., Zhang, Q., Han, J.: Employing bilinear fusion and saliency prior information for rgb-d salient object detection. IEEE Trans. Multimedia 24, 1651\u20131664 (2022)","journal-title":"IEEE Trans. Multimedia"},{"key":"3859_CR29","doi-asserted-by":"crossref","unstructured":"Liu, N., Zhang, N., Wan, K., Shao, L., Han, J.: Visual saliency transformer, in. IEEE\/CVF International Conference on Computer Vision (ICCV) 2021, 4702\u20134712 (2021)","DOI":"10.1109\/ICCV48922.2021.00468"},{"key":"3859_CR30","first-page":"04861","volume":"1704","author":"AG Howard","year":"2017","unstructured":"Howard, A.G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., Adam, H.: Mobilenets: Efficient convolutional neural networks for mobile vision applications. Comput. Res. Repos. CoRR. 1704, 04861 (2017)","journal-title":"Comput. Res. Repos. CoRR."},{"key":"3859_CR31","doi-asserted-by":"crossref","unstructured":"Zhang, X., Zhou, X., Lin, M., Sun, J.: Shufflenet: An extremely efficient convolutional neural network for mobile devices, in. IEEE\/CVF Conference on Computer Vision and Pattern Recognition 2018, 6848\u20136856 (2018)","DOI":"10.1109\/CVPR.2018.00716"},{"key":"3859_CR32","unstructured":"Tan, M., Le, Q.V.: Efficientnet: Rethinking model scaling for convolutional neural networks, Computing Research Repository(CoRR) (2019)"},{"issue":"1","key":"3859_CR33","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.vrih.2022.07.006","volume":"5","author":"M Zhang","year":"2023","unstructured":"Zhang, M., Tian, X.: Transformer architecture based on mutual attention for image-anomaly detection. Virtual Real. Intell. Hardw. 5(1), 57\u201367 (2023)","journal-title":"Virtual Real. Intell. Hardw."},{"key":"3859_CR34","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., Polosukhin, I., Attention is all you need, arXiv (2017)"},{"key":"3859_CR35","doi-asserted-by":"publisher","first-page":"4556","DOI":"10.1109\/TIP.2022.3185550","volume":"31","author":"N Zhang","year":"2022","unstructured":"Zhang, N., Han, J., Liu, N.: Learning implicit class knowledge for rgb-d co-salient object detection with transformers. IEEE Trans. Image Process. 31, 4556\u20134570 (2022)","journal-title":"IEEE Trans. Image Process."},{"key":"3859_CR36","doi-asserted-by":"crossref","unstructured":"Yue, G., Jiao, G., Li, C., Xiang, J.: When cnn meet with vit: decision-level feature fusion for camouflaged object detection. The Visual Computer 1\u201316 (2024)","DOI":"10.1007\/s00371-024-03640-8"},{"key":"3859_CR37","first-page":"1","volume":"6","author":"Z Huang","year":"2024","unstructured":"Huang, Z., Zhu, Y., Zhang, Q., Zang, H., Lei, T.: Exploration, fusion, and refinement: a multivariate features interaction network for visual camouflaged detection. V. Comput. 6, 1\u201315 (2024)","journal-title":"V. Comput."},{"issue":"14","key":"3859_CR38","doi-asserted-by":"publisher","first-page":"3481","DOI":"10.3390\/rs14143481","volume":"14","author":"Q Hong","year":"2024","unstructured":"Hong, Q., Jiang, L., Zhang, Z., Ji, S., Gu, C., Mao, W., Li, W., Liu, T., Li, B., Tan, C.: A lightweight model for wheat ear fusarium head blight detection based on rgb images. Remote Sens. 14(14), 3481 (2024)","journal-title":"Remote Sens."},{"key":"3859_CR39","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1016\/j.neucom.2021.11.100","volume":"490","author":"W Zhou","year":"2022","unstructured":"Zhou, W., Liu, C., Lei, J.L.T.: Hfnet: Hierarchical feedback network with multilevel atrous spatial pyramid pooling for rgb-d saliency detection. Neurocomputing 490, 347\u2013357 (2022)","journal-title":"Neurocomputing"},{"key":"3859_CR40","doi-asserted-by":"publisher","first-page":"3321","DOI":"10.1109\/TIP.2019.2959253","volume":"29","author":"Q Zhang","year":"2020","unstructured":"Zhang, Q., Huang, N., Yao, L., Zhang, D., Shan, C., Han, J.: Rgb-t salient object detection via fusing multi-level cnn features. IEEE Trans. Image Process. 29, 3321\u20133335 (2020)","journal-title":"IEEE Trans. Image Process."},{"issue":"5","key":"3859_CR41","doi-asserted-by":"publisher","DOI":"10.1002\/cav.2293","volume":"35","author":"Z Xiao","year":"2024","unstructured":"Xiao, Z., Chen, Y., Zhou, X., He, M., Liu, L., Yu, F., Jiang, M.: Human action recognition in immersive virtual reality based on multi-scale spatio-temporal attention network. Comput. Anim. Virtual Worlds. 35(5), e2293 (2024)","journal-title":"Comput. Anim. Virtual Worlds."},{"key":"3859_CR42","first-page":"1","volume":"20","author":"J Jin","year":"2023","unstructured":"Jin, J., Zhou, W., Yang, R., Ye, L., Yu, L.: Edge detection guide network for semantic segmentation of remote-sensing images. IEEE Geosci. Remote Sens. Lett. 20, 1\u20135 (2023)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"issue":"2","key":"3859_CR43","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 Trans. Pattern Anal. Mach. Intell. 43(2), 652\u2013662 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3859_CR44","doi-asserted-by":"crossref","unstructured":"Tang, L., Li, B., Wu, Y., Xiao, B., Ding, S.: Fast: Feature aggregation for detecting salient object in real-time, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1525\u20131529 (2021)","DOI":"10.1109\/ICASSP39728.2021.9414457"},{"key":"3859_CR45","doi-asserted-by":"crossref","unstructured":"Zhong, Y., Li, B., Tang, L., Kuang, S., Wu, S., Ding, S.: Detecting camouflaged object in frequency domain, in: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4494\u20134503 (2022)","DOI":"10.1109\/CVPR52688.2022.00446"},{"key":"3859_CR46","doi-asserted-by":"crossref","unstructured":"Ding, X., Guo, Y., Ding, G., Han, J.: Acnet: Strengthening the kernel skeletons for powerful cnn via asymmetric convolution blocks, in: International Conference on Computer Vision (ICCV), pp. 1911\u20131920 (2019)","DOI":"10.1109\/ICCV.2019.00200"},{"key":"3859_CR47","doi-asserted-by":"publisher","first-page":"1432","DOI":"10.1007\/s00138-023-01424-z","volume":"34","author":"J Yu","year":"2023","unstructured":"Yu, J., Chen, S., Lu, L., Chen, Z., Xu, X., Hu, X., Zhu, J.: Alternate guidance network for boundary-aware camouflaged object detection. Mach. Vis. Appl. 34, 1432\u20131769 (2023)","journal-title":"Mach. Vis. Appl."},{"key":"3859_CR48","doi-asserted-by":"publisher","first-page":"6396","DOI":"10.1109\/TIP.2022.3189828","volume":"31","author":"P Li","year":"2022","unstructured":"Li, P., Yan, X., Zhu, H., Wei, M., Zhang, X.-P., Qin, J.: Findnet: Can you find me? boundary-and-texture enhancement network for camouflaged object detection. IEEE Trans. Image Process. 31, 6396\u20136411 (2022)","journal-title":"IEEE Trans. Image Process."},{"key":"3859_CR49","doi-asserted-by":"crossref","unstructured":"Fan, D.-P., Ji, G.-P., Zhou, T., Chen, G., Fu, H., Shen, J., Shao, L.: Pranet: Parallel reverse attention network for polyp segmentation, in: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 263\u2013273 (2020)","DOI":"10.1007\/978-3-030-59725-2_26"},{"key":"3859_CR50","doi-asserted-by":"crossref","unstructured":"He, C., Li, K., Zhang, Y., Tang, L., Zhang, Y., Guo, Z., Li, X.: Camouflaged object detection with feature decomposition and edge reconstruction, in: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 22046\u201322055 (2023)","DOI":"10.1109\/CVPR52729.2023.02111"},{"key":"3859_CR51","doi-asserted-by":"crossref","unstructured":"Deng-Ping, F., Yingjie, Z., Ali, B., Jufeng, Y., Ling, S.: Bbs-net: Rgb-d salient object detection with a bifurcated backbone strategy network, in: European Conference on Computer Vision (ECCV), pp. 275\u2013292 (2020)","DOI":"10.1007\/978-3-030-58610-2_17"},{"key":"3859_CR52","doi-asserted-by":"crossref","unstructured":"Zhang, W., Jiang, Y., Fu, K., Zhao, Q.: Bts-net: Bi-directional transfer-and-selection network for rgb-d salient object detection, in: IEEE International Conference on Multimedia and Expo (ICME), pp. 1\u20136 (2021)","DOI":"10.1109\/ICME51207.2021.9428263"},{"key":"3859_CR53","doi-asserted-by":"publisher","first-page":"4253","DOI":"10.1109\/TMM.2022.3172852","volume":"25","author":"X Cheng","year":"2023","unstructured":"Cheng, X., Zheng, X., Pei, J., Tang, H., Lyu, Z., Chen, C.: Depth-induced gap-reducing network for rgb-d salient object detection: An interaction, guidance and refinement approach. IEEE Trans. Multimedia 25, 4253\u20134266 (2023)","journal-title":"IEEE Trans. Multimedia"},{"key":"3859_CR54","doi-asserted-by":"publisher","first-page":"6800","DOI":"10.1109\/TIP.2022.3216198","volume":"31","author":"R Cong","year":"2022","unstructured":"Cong, R., Lin, Q., Zhang, C., Li, C., Cao, X., Huang, Q., Zhao, Y.: Cir-net: Cross-modality interaction and refinement for rgb-d salient object detection. IEEE Trans. Image Process. 31, 6800\u20136815 (2022)","journal-title":"IEEE Trans. Image Process."},{"key":"3859_CR55","doi-asserted-by":"crossref","unstructured":"Wu, Z., Paudel, D.P., Fan, D.-P., Wang, J., Wang, S., Demonceaux, C., Timofte, R., Van\u00a0Gool, L.: Source-free depth for object pop-out, in: International Conference on Computer Vision (ICCV), pp. 1032\u20131042 (2023)","DOI":"10.1109\/ICCV51070.2023.00101"},{"key":"3859_CR56","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108901","volume":"248","author":"T Chen","year":"2022","unstructured":"Chen, T., Xiao, J., Wang, S.: Boundary-guided network for camouflaged object detection. Knowl.-Based Syst. 248, 108901 (2022)","journal-title":"Knowl.-Based Syst."},{"key":"3859_CR57","doi-asserted-by":"crossref","unstructured":"Kirillov, A., Eric, M., Ravi, N., Mao, H., Rolland, C., Laura, G., Xiao, T., Whitehead, S.: Segment anything, in: Computer Vision and Pattern Recognition 4015\u20134026 (2023)","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"3859_CR58","doi-asserted-by":"crossref","unstructured":"Yang, F., Zhai, Q., Li, X., Huang, R., Luo, A., Cheng, H., Fan, D.-P.: Uncertainty-guided transformer reasoning for camouflaged object detection, in: International Conference on Computer Vision (ICCV) 4126\u20134135 (2021)","DOI":"10.1109\/ICCV48922.2021.00411"},{"key":"3859_CR59","doi-asserted-by":"crossref","unstructured":"Zhang, J., Fan, D.-P., Dai, Y., Yu, X., Zhong, Y., Barnes, N., Shao, L.: Rgb-d saliency detection via cascaded mutual information minimization, in: International Conference on Computer Vision (ICCV) 4318\u20134327 (2021)","DOI":"10.1109\/ICCV48922.2021.00430"},{"key":"3859_CR60","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: International Conference on Computer Vision (ICCV) 4661\u20134671 (2021)","DOI":"10.1109\/ICCV48922.2021.00464"},{"key":"3859_CR61","doi-asserted-by":"publisher","first-page":"1285","DOI":"10.1109\/TIP.2022.3140606","volume":"31","author":"F Wang","year":"2022","unstructured":"Wang, F., Pan, J., Xu, S., Tang, J.: Learning discriminative cross-modality features for rgb-d saliency detection. IEEE Trans. Image Process. 31, 1285\u20131297 (2022)","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"3859_CR62","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1007\/s00530-023-01250-3","volume":"30","author":"H Bi","year":"2024","unstructured":"Bi, H., Tong, Y., Zhang, J., Zhang, C., Tong, J., Jin, W.: Depth alignment interaction network for camouflaged object detection. Multimed. Syst. 30(1), 51 (2024)","journal-title":"Multimed. Syst."},{"key":"3859_CR63","doi-asserted-by":"crossref","unstructured":"Qin, X., Zhang, Z., Huang, C., Gao, C., Dehghan, M., Jagersand, M.: Basnet: Boundary-aware salient object detection, in: Conference on Computer Vision and Pattern Recognition (CVPR) 7471\u20137481 (2019)","DOI":"10.1109\/CVPR.2019.00766"},{"key":"3859_CR64","first-page":"19","volume-title":"SHIEMANNOR","author":"B Ptd","year":"2005","unstructured":"Ptd, B., Dp, K.: SHIEMANNOR, pp. 19\u201367. A tutorial on the crossentropy method, Annals of operations research, R. RY (2005)"},{"key":"3859_CR65","unstructured":"Le, T., Nguyen, T.V., Nie, Z., Tran, M., Sugimoto, A.: Anabranch network for camouflaged object segmentation. Computing Research Repository(CoRR) (2021)"},{"key":"3859_CR66","unstructured":"Skurowski, P., Abdulameer, H., B\u0142aszczyk, J., Depta, T., Kornacki, A., Kozie\u0142, P.: Animal camouflage analysis: Chameleon database, Unpublished manuscript 2(6) (2018)"},{"issue":"3","key":"3859_CR67","doi-asserted-by":"publisher","first-page":"1623","DOI":"10.1109\/TPAMI.2020.3019967","volume":"44","author":"R Ranftl","year":"2022","unstructured":"Ranftl, R., Lasinger, K., Hafner, D., Schindler, K., Koltun, V.: Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer. IEEE Trans. Pattern Anal. Mach. Intell. 44(3), 1623\u20131637 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3859_CR68","unstructured":"Xiang, M., Zhang, J., Lv, Y., Li, A., Zhong, Y., Dai, Y.: Exploring depth contribution for camouflaged object detection. Computing Research Repository(CoRR) (2021)"},{"issue":"10","key":"3859_CR69","doi-asserted-by":"publisher","first-page":"6981","DOI":"10.1109\/TCSVT.2022.3178173","volume":"32","author":"G Chen","year":"2022","unstructured":"Chen, G., Liu, S.-J., Sun, Y.-J., Ji, G.-P., Wu, Y.-F., Zhou, T.: Camouflaged object detection via context-aware cross-level fusion. IEEE Trans. Circuits Syst. Video Technol. 32(10), 6981\u20136993 (2022)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"3859_CR70","doi-asserted-by":"crossref","unstructured":"Mei, H., Ji, G.-P., Wei, Z., Yang, X., Wei, X., Fan, D.-P.: Camouflaged object segmentation with distraction mining, in: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8768\u20138777 (2021)","DOI":"10.1109\/CVPR46437.2021.00866"},{"key":"3859_CR71","doi-asserted-by":"publisher","first-page":"6024","DOI":"10.1109\/TPAMI.2021.3085766","volume":"44","author":"D-P Fan","year":"2022","unstructured":"Fan, D.-P., Ji, G.-P., Cheng, M.-M., Shao, L.: Concealed object detection. IEEE Trans. Pattern Anal. Mach. Intell. 44, 6024\u20136042 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"12","key":"3859_CR72","doi-asserted-by":"publisher","first-page":"10261","DOI":"10.1109\/TPAMI.2021.3134684","volume":"44","author":"Y-H Wu","year":"2022","unstructured":"Wu, Y.-H., Liu, Y., Xu, J., Bian, J.-W., Gu, Y.-C., Cheng, M.-M.: Mobilesal: Extremely efficient rgb-d salient object detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(12), 10261\u201310269 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3859_CR73","doi-asserted-by":"crossref","unstructured":"Piao, Y., Rong, Z., Zhang, M., Ren, W., Lu, H.: A2dele: Adaptive and attentive depth distiller for efficient rgb-d salient object detection, in: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 9057\u20139066 (2020)","DOI":"10.1109\/CVPR42600.2020.00908"},{"key":"3859_CR74","first-page":"1","volume":"20","author":"J Jin","year":"2023","unstructured":"Jin, J., Zhou, W., Yang, R., Ye, L., Yu, L.: Edge detection guide network for semantic segmentation of remote-sensing images. IEEE Geosci. Remote Sens. Lett. 20, 1\u20135 (2023)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"3859_CR75","unstructured":"Tang, L., Xiao, H., Li, B.: Can sam segment anything? when sam meets camouflaged object detection, arXiv preprint arXiv:2304.04709 (2023)"},{"key":"3859_CR76","doi-asserted-by":"crossref","unstructured":"Zhai, Q., Li, X., Yang, F., Chen, C., Cheng, H., Fan, D.-P.: Mutual graph learning for camouflaged object detection, in: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 12992\u201313002 (2021)","DOI":"10.1109\/CVPR46437.2021.01280"},{"key":"3859_CR77","first-page":"19353","volume":"33","author":"K Han","year":"2020","unstructured":"Han, K., Wang, Y., Zhang, Q., Zhang, W., Xu, C., Zhang, T.: Model rubik\u2019s cube: Twisting resolution, Depth and width for tinynets. Adv. Neural Inf. Process. Syst. 33, 19353\u201319364 (2020)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"3859_CR78","unstructured":"Tan, M., Le, Q.V.: Efficientnet: Rethinking model scaling for convolutional neural networks (2020)"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-025-03859-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-025-03859-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-025-03859-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T09:55:11Z","timestamp":1757152511000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-025-03859-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,18]]},"references-count":78,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2025,9]]}},"alternative-id":["3859"],"URL":"https:\/\/doi.org\/10.1007\/s00371-025-03859-z","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,18]]},"assertion":[{"value":"24 February 2025","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 March 2025","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}