{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T20:13:49Z","timestamp":1784232829367,"version":"3.55.0"},"reference-count":89,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012154","name":"Graduate Research and Innovation Projects of Jiangsu Province","doi-asserted-by":"publisher","award":["KYCX25_3384"],"award-info":[{"award-number":["KYCX25_3384"]}],"id":[{"id":"10.13039\/501100012154","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62571068"],"award-info":[{"award-number":["62571068"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2027,1]]},"DOI":"10.1016\/j.eswa.2026.133595","type":"journal-article","created":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T20:18:24Z","timestamp":1783628304000},"page":"133595","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PB","title":["Mamba-driven sifter for salient object detection"],"prefix":"10.1016","volume":"332","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-6233-1731","authenticated-orcid":false,"given":"Ke","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9298-8172","authenticated-orcid":false,"given":"Chengxin","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4885-5502","authenticated-orcid":false,"given":"Yi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8369-8886","authenticated-orcid":false,"given":"Dingwen","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuzhe","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shoukun","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2026.133595_bib0001","series-title":"2009 IEEE Conference on computer vision and pattern recognition","first-page":"1597","article-title":"Frequency-tuned salient region detection","author":"Achanta","year":"2009"},{"issue":"4","key":"10.1016\/j.eswa.2026.133595_bib0002","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1162\/pres.1997.6.4.355","article-title":"A survey of augmented reality","volume":"6","author":"Azuma","year":"1997","journal-title":"Presence: Teleoperators & Virtual Environments"},{"issue":"12","key":"10.1016\/j.eswa.2026.133595_bib0003","doi-asserted-by":"crossref","first-page":"5706","DOI":"10.1109\/TIP.2015.2487833","article-title":"Salient object detection: A benchmark","volume":"24","author":"Borji","year":"2015","journal-title":"IEEE Transactions on Image Processing"},{"issue":"10","key":"10.1016\/j.eswa.2026.133595_bib0004","doi-asserted-by":"crossref","first-page":"6981","DOI":"10.1109\/TCSVT.2022.3178173","article-title":"Camouflaged object detection via context-aware cross-level fusion","volume":"32","author":"Chen","year":"2022","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"10.1016\/j.eswa.2026.133595_bib0005","series-title":"Proceedings of the European conference on computer vision (ECCV)","first-page":"234","article-title":"Reverse attention for salient object detection","author":"Chen","year":"2018"},{"key":"10.1016\/j.eswa.2026.133595_bib0006","unstructured":"Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S. et al. (2020). An image is worth 16x16 words: Transformers for image recognition at scale. arXiv: 2010.11929."},{"key":"10.1016\/j.eswa.2026.133595_bib0007","series-title":"Proceedings of the 30th ACM international conference on multimedia","first-page":"6549","article-title":"Saliency in augmented reality","author":"Duan","year":"2022"},{"key":"10.1016\/j.eswa.2026.133595_bib0008","doi-asserted-by":"crossref","DOI":"10.1016\/j.jvcir.2021.103116","article-title":"A review of video surveillance systems","volume":"77","author":"Elharrouss","year":"2021","journal-title":"Journal of Visual Communication and Image Representation"},{"key":"10.1016\/j.eswa.2026.133595_bib0009","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR)","article-title":"A new way to evaluate foreground maps","volume":"245484557","author":"Fan","year":"2017"},{"key":"10.1016\/j.eswa.2026.133595_bib0010","doi-asserted-by":"crossref","unstructured":"Fan, D.-P., Gong, C., Cao, Y., Ren, B., Cheng, M.-M., & Borji, A. (2018). Enhanced-alignment measure for binary foreground map evaluation. arXiv: 1805.10421.","DOI":"10.24963\/ijcai.2018\/97"},{"key":"10.1016\/j.eswa.2026.133595_bib0011","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"2777","article-title":"Camouflaged object detection","author":"Fan","year":"2020"},{"key":"10.1016\/j.eswa.2026.133595_bib0012","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"8554","article-title":"Shifting more attention to video salient object detection","author":"Fan","year":"2019"},{"key":"10.1016\/j.eswa.2026.133595_bib0013","unstructured":"Gu, A., & Dao, T. (2023). Mamba: Linear-time sequence modeling with selective state spaces. arXiv: 2312.00752."},{"issue":"8","key":"10.1016\/j.eswa.2026.133595_bib0014","first-page":"1309","article-title":"Background prior-based salient object detection via deep reconstruction residual","volume":"25","author":"Han","year":"2014","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"10.1016\/j.eswa.2026.133595_bib0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.adhoc.2024.103645","article-title":"PLLM-CS: Pre-trained large language model (LLM) for cyber threat detection in satellite networks","volume":"166","author":"Hassanin","year":"2025","journal-title":"Ad Hoc Networks"},{"key":"10.1016\/j.eswa.2026.133595_bib0016","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"22046","article-title":"Camouflaged object detection with feature decomposition and edge reconstruction","author":"He","year":"2023"},{"key":"10.1016\/j.eswa.2026.133595_bib0017","series-title":"Proceedings of the computer vision and pattern recognition conference","first-page":"25314","article-title":"Samba: A unified Mamba-based framework for general salient object detection","author":"He","year":"2025"},{"key":"10.1016\/j.eswa.2026.133595_bib0018","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"5557","article-title":"Feature shrinkage pyramid for camouflaged object detection with transformers","author":"Huang","year":"2023"},{"key":"10.1016\/j.eswa.2026.133595_bib0019","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"4713","article-title":"Segment, magnify and reiterate: Detecting camouflaged objects the hard way","author":"Jia","year":"2022"},{"key":"10.1016\/j.eswa.2026.133595_bib0020","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"2083","article-title":"Salient object detection: A discriminative regional feature integration approach","author":"Jiang","year":"2013"},{"key":"10.1016\/j.eswa.2026.133595_bib0021","series-title":"Proceedings of the AAAI conference on artificial intelligence","article-title":"Structured inference networks for nonlinear state space models","volume":"31","author":"Krishnan","year":"2017"},{"key":"10.1016\/j.eswa.2026.133595_bib0022","first-page":"1","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"Krizhevsky","year":"2012","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.eswa.2026.133595_bib0023","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.cviu.2019.04.006","article-title":"Anabranch network for camouflaged object segmentation","volume":"184","author":"Le","year":"2019","journal-title":"Computer Vision and Image Understanding"},{"issue":"1","key":"10.1016\/j.eswa.2026.133595_bib0024","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-023-28530-2","article-title":"Dual encoder\u2013decoder-based deep polyp segmentation network for colonoscopy images","volume":"13","author":"Lewis","year":"2023","journal-title":"Scientific Reports"},{"key":"10.1016\/j.eswa.2026.133595_bib0025","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"10071","article-title":"Uncertainty-aware joint salient object and camouflaged object detection","author":"Li","year":"2021"},{"key":"10.1016\/j.eswa.2026.133595_bib0026","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"5455","article-title":"Visual saliency based on multiscale deep features","author":"Li","year":"2015"},{"key":"10.1016\/j.eswa.2026.133595_bib0027","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"280","article-title":"The secrets of salient object segmentation","author":"Li","year":"2014"},{"key":"10.1016\/j.eswa.2026.133595_bib0028","doi-asserted-by":"crossref","unstructured":"Liang, D., Zhou, X., Wang, X., Zhu, X., Xu, W., Zou, Z., Ye, X., & Bai, X. (2024). PointMamba: A simple state space model for point cloud analysis. arXiv: 2402.10739.","DOI":"10.52202\/079017-1026"},{"key":"10.1016\/j.eswa.2026.133595_bib0029","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"3089","article-title":"PiCANet: Learning pixel-wise contextual attention for saliency detection","author":"Liu","year":"2018"},{"key":"10.1016\/j.eswa.2026.133595_bib0030","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"4722","article-title":"Visual saliency transformer","author":"Liu","year":"2021"},{"key":"10.1016\/j.eswa.2026.133595_bib0031","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"19434","article-title":"Explicit visual prompting for low-level structure segmentations","author":"Liu","year":"2023"},{"key":"10.1016\/j.eswa.2026.133595_bib0032","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.126912","article-title":"Seamless detection: Unifying salient object detection and camouflaged object detection","volume":"274","author":"Liu","year":"2025","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.133595_bib0033","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11263-025-02393-8","article-title":"Part-whole relational fusion towards multi-modal scene understanding","volume":"133","author":"Liu","year":"2025","journal-title":"International Journal of Computer Vision"},{"key":"10.1016\/j.eswa.2026.133595_bib0034","doi-asserted-by":"crossref","first-page":"103031","DOI":"10.52202\/079017-3273","article-title":"VMamba: Visual state space model","volume":"37","author":"Liu","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.eswa.2026.133595_bib0035","doi-asserted-by":"crossref","first-page":"6719","DOI":"10.1109\/TIP.2022.3215887","article-title":"Disentangled capsule routing for fast part-object relational saliency","volume":"31","author":"Liu","year":"2022","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/j.eswa.2026.133595_bib0036","doi-asserted-by":"crossref","first-page":"5154","DOI":"10.1109\/TIFS.2021.3124734","article-title":"Integrating part-object relationship and contrast for camouflaged object detection","volume":"16","author":"Liu","year":"2021","journal-title":"IEEE Transactions on Information Forensics and Security"},{"issue":"7","key":"10.1016\/j.eswa.2026.133595_bib0037","first-page":"3688","article-title":"Part-object relational visual saliency","volume":"44","author":"Liu","year":"2021","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.eswa.2026.133595_bib0038","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"1232","article-title":"Employing deep part-object relationships for salient object detection","author":"Liu","year":"2019"},{"issue":"7","key":"10.1016\/j.eswa.2026.133595_bib0039","doi-asserted-by":"crossref","first-page":"6633","DOI":"10.1109\/TITS.2023.3342811","article-title":"TCGNet: Type-correlation guidance for salient object detection","volume":"25","author":"Liu","year":"2023","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"10.1016\/j.eswa.2026.133595_bib0040","unstructured":"Loshchilov, I., & Hutter, F. (2017). Decoupled weight decay regularization. arXiv: 1711.05101."},{"issue":"3","key":"10.1016\/j.eswa.2026.133595_bib0041","doi-asserted-by":"crossref","first-page":"3137","DOI":"10.1109\/TPAMI.2025.3635136","article-title":"VSCode-v2: Dynamic prompt learning for general visual salient and camouflaged object detection with two-stage optimization","volume":"48","author":"Luo","year":"2025","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.eswa.2026.133595_bib0042","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"17169","article-title":"Vscode: General visual salient and camouflaged object detection with 2D prompt learning","author":"Luo","year":"2024"},{"key":"10.1016\/j.eswa.2026.133595_bib0043","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"11591","article-title":"Simultaneously localize, segment and rank the camouflaged objects","author":"Lv","year":"2021"},{"key":"10.1016\/j.eswa.2026.133595_bib0044","unstructured":"Ma, J., Li, F., & Wang, B. (2024). U-Mamba: Enhancing long-range dependency for biomedical image segmentation. arXiv: 2401.04722."},{"issue":"2","key":"10.1016\/j.eswa.2026.133595_bib0045","doi-asserted-by":"crossref","first-page":"1041","DOI":"10.1109\/TCSVT.2024.3469286","article-title":"Generative transformer for accurate and reliable salient object detection","volume":"35","author":"Mao","year":"2024","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"issue":"7","key":"10.1016\/j.eswa.2026.133595_bib0046","doi-asserted-by":"crossref","first-page":"1010","DOI":"10.1038\/s41592-023-01879-y","article-title":"The cell tracking challenge: 10 years of objective benchmarking","volume":"20","author":"Ma\u0161ka","year":"2023","journal-title":"Nature Methods"},{"issue":"04","key":"10.1016\/j.eswa.2026.133595_bib0047","doi-asserted-by":"crossref","DOI":"10.1142\/S021946782050028X","article-title":"Camouflaged object detection and tracking: A survey","volume":"20","author":"Mondal","year":"2020","journal-title":"International Journal of Image and Graphics"},{"key":"10.1016\/j.eswa.2026.133595_bib0048","unstructured":"Pang, Y. (2020). PySODMetrics: A simple and efficient implementation of SOD metrcis. https:\/\/github.com\/lartpang\/PySODMetrics."},{"key":"10.1016\/j.eswa.2026.133595_bib0049","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"2160","article-title":"Zoom in and out: A mixed-scale triplet network for camouflaged object detection","author":"Pang","year":"2022"},{"key":"10.1016\/j.eswa.2026.133595_bib0050","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"9413","article-title":"Multi-scale interactive network for salient object detection","author":"Pang","year":"2020"},{"key":"10.1016\/j.eswa.2026.133595_bib0051","series-title":"European conference on computer vision","first-page":"19","article-title":"OSFormer: One-stage camouflaged instance segmentation with transformers","author":"Pei","year":"2022"},{"key":"10.1016\/j.eswa.2026.133595_bib0052","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"27124","article-title":"PerceptionGPT: Effectively fusing visual perception into LLM","author":"Pi","year":"2024"},{"key":"10.1016\/j.eswa.2026.133595_bib0053","unstructured":"Ravi, N., Gabeur, V., Hu, Y.-T., Hu, R., Ryali, C., Ma, T., Khedr, H., R\u00e4dle, R., Rolland, C., Gustafson, L. et al. (2024). SAM 2: Segment anything in images and videos. arXiv: 2408.00714."},{"issue":"2","key":"10.1016\/j.eswa.2026.133595_bib0054","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1007\/s40684-021-00343-6","article-title":"State of the art in defect detection based on machine vision","volume":"9","author":"Ren","year":"2022","journal-title":"International Journal of Precision Engineering and Manufacturing-Green Technology"},{"key":"10.1016\/j.eswa.2026.133595_bib0055","doi-asserted-by":"crossref","unstructured":"Ruan, J., & Xiang, S. (2024). VM-UNet: Vision Mamba UNet for medical image segmentation. arXiv: 2402.02491.","DOI":"10.1145\/3767748"},{"key":"10.1016\/j.eswa.2026.133595_bib0056","unstructured":"Sim\u00e9oni, O., Vo, H. V., Seitzer, M., Baldassarre, F., Oquab, M., Jose, C., Khalidov, V., Szafraniec, M., Yi, S., Ramamonjisoa, M. et al. (2025). Dinov3. arXiv: 2508.10104."},{"key":"10.1016\/j.eswa.2026.133595_bib0057","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"4156","article-title":"Scene context-aware salient object detection","author":"Siris","year":"2021"},{"key":"10.1016\/j.eswa.2026.133595_bib0058","unstructured":"Skurowski, P., Abdulameer, H., B\u0142aszczyk, J., Depta, T., Kornacki, A., & Kozie\u0142, P. (2018). Animal camouflage analysis: Chameleon database, 2(6), 7."},{"issue":"8","key":"10.1016\/j.eswa.2026.133595_bib0059","doi-asserted-by":"crossref","first-page":"1930","DOI":"10.1038\/s41591-023-02448-8","article-title":"Large language models in medicine","volume":"29","author":"Thirunavukarasu","year":"2023","journal-title":"Nature Medicine"},{"key":"10.1016\/j.eswa.2026.133595_bib0060","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"19660","article-title":"Modeling the distributional uncertainty for salient object detection models","author":"Tian","year":"2023"},{"key":"10.1016\/j.eswa.2026.133595_bib0061","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017). Attention is all you need.(nips), 2017. arXiv: 1706.03762, 10, S0140525X16001837."},{"key":"10.1016\/j.eswa.2026.133595_bib0062","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.patrec.2018.08.010","article-title":"Visual saliency guided complex image retrieval","volume":"130","author":"Wang","year":"2020","journal-title":"Pattern Recognition Letters"},{"key":"10.1016\/j.eswa.2026.133595_bib0063","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"136","article-title":"Learning to detect salient objects with image-level supervision","author":"Wang","year":"2017"},{"issue":"6","key":"10.1016\/j.eswa.2026.133595_bib0064","doi-asserted-by":"crossref","first-page":"3239","DOI":"10.1109\/TPAMI.2021.3051099","article-title":"Salient object detection in the deep learning Era: An in-depth survey","volume":"44","author":"Wang","year":"2021","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.eswa.2026.133595_bib0065","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"1448","article-title":"Salient object detection with pyramid attention and salient edges","author":"Wang","year":"2019"},{"key":"10.1016\/j.eswa.2026.133595_bib0066","doi-asserted-by":"crossref","first-page":"3125","DOI":"10.1109\/TIP.2022.3164550","article-title":"EDN: Salient object detection via extremely-downsampled network","volume":"31","author":"Wu","year":"2022","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/j.eswa.2026.133595_bib0067","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"2883","article-title":"Pixel is all you need: Adversarial trajectory-ensemble active learning for salient object detection","volume":"37","author":"Wu","year":"2023"},{"key":"10.1016\/j.eswa.2026.133595_bib0068","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"1155","article-title":"Hierarchical saliency detection","author":"Yan","year":"2013"},{"key":"10.1016\/j.eswa.2026.133595_bib0069","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"3166","article-title":"Saliency detection via graph-based manifold ranking","author":"Yang","year":"2013"},{"key":"10.1016\/j.eswa.2026.133595_bib0070","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"4146","article-title":"Uncertainty-guided transformer reasoning for camouflaged object detection","author":"Yang","year":"2021"},{"key":"10.1016\/j.eswa.2026.133595_bib0071","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110330","article-title":"GPONet: A two-stream gated progressive optimization network for salient object detection","volume":"150","author":"Yi","year":"2024","journal-title":"Pattern Recognition"},{"issue":"12","key":"10.1016\/j.eswa.2026.133595_bib0072","doi-asserted-by":"crossref","first-page":"10362","DOI":"10.1109\/TPAMI.2024.3438565","article-title":"CamoFormer: Masked separable attention for camouflaged object detection","volume":"46","author":"Yin","year":"2024","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.eswa.2026.133595_bib0073","unstructured":"Zhang, D., Cheng, L., Liu, Y., Wang, X., & Han, J. (2024). Mamba capsule routing towards part-whole relational camouflaged object detection. arXiv: 2410.03987."},{"key":"10.1016\/j.eswa.2026.133595_bib0074","first-page":"15448","article-title":"Learning generative vision transformer with energy-based latent space for saliency prediction","volume":"34","author":"Zhang","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.eswa.2026.133595_bib0075","first-page":"1","article-title":"Adaptive downsampling and scale enhanced detection head for tiny object detection in remote sensing image","volume":"22","author":"Zhang","year":"2025","journal-title":"IEEE Geoscience and Remote Sensing Letters"},{"issue":"1","key":"10.1016\/j.eswa.2026.133595_bib0076","doi-asserted-by":"crossref","DOI":"10.1117\/1.JEI.34.1.013005","article-title":"Asymmetric light-aware progressive decoding network for RGB-thermal salient object detection","volume":"34","author":"Zhang","year":"2025","journal-title":"Journal of Electronic Imaging"},{"key":"10.1016\/j.eswa.2026.133595_bib0077","first-page":"1","article-title":"ORSI salient object detection via progressive interaction and saliency-guided enhancement","volume":"23","author":"Zhang","year":"2025","journal-title":"IEEE Geoscience and Remote Sensing Letters"},{"key":"10.1016\/j.eswa.2026.133595_bib0078","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2025.111840","article-title":"Video saliency prediction via single feature enhancement and temporal recurrence","volume":"160","author":"Zhang","year":"2025","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"10.1016\/j.eswa.2026.133595_bib0079","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.patrec.2025.04.015","article-title":"Cross-erasure enhanced network for occluded person Re-Identification","volume":"193","author":"Zhang","year":"2025","journal-title":"Pattern Recognition Letters"},{"key":"10.1016\/j.eswa.2026.133595_bib0080","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.patrec.2025.04.027","article-title":"Pyramid-structured multi-scale transformer for efficient semi-supervised video object segmentation with adaptive fusion","volume":"194","author":"Zhang","year":"2025","journal-title":"Pattern Recognition Letters"},{"key":"10.1016\/j.eswa.2026.133595_bib0081","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2024.109806","article-title":"An efficient perceptual video compression scheme based on deep learning-assisted video saliency and just noticeable distortion","volume":"141","author":"Zhang","year":"2025","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"10.1016\/j.eswa.2026.133595_bib0082","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.128564","article-title":"Spatiotemporal dual-branch feature-guided fusion network for driver attention prediction","volume":"292","author":"Zhang","year":"2025","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.133595_bib0083","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"8779","article-title":"EGNet: Edge guidance network for salient object detection","author":"Zhao","year":"2019"},{"key":"10.1016\/j.eswa.2026.133595_bib0084","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"1265","article-title":"Saliency detection by multi-context deep learning","author":"Zhao","year":"2015"},{"issue":"1","key":"10.1016\/j.eswa.2026.133595_bib0085","doi-asserted-by":"crossref","DOI":"10.1155\/2021\/5592878","article-title":"A new steel defect detection algorithm based on deep learning","volume":"2021","author":"Zhao","year":"2021","journal-title":"Computational Intelligence and Neuroscience"},{"key":"10.1016\/j.eswa.2026.133595_bib0086","doi-asserted-by":"crossref","first-page":"7114","DOI":"10.1109\/TMM.2024.3360710","article-title":"Decoupling and integration network for camouflaged object detection","volume":"26","author":"Zhou","year":"2024","journal-title":"IEEE Transactions on Multimedia"},{"key":"10.1016\/j.eswa.2026.133595_bib0087","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"9866","article-title":"Saliency-associated object tracking","author":"Zhou","year":"2021"},{"key":"10.1016\/j.eswa.2026.133595_bib0088","unstructured":"Zhu, L., Liao, B., Zhang, Q., Wang, X., Liu, W., & Wang, X. (2024). Vision Mamba: Efficient visual representation learning with bidirectional state space model. arXiv: 2401.09417."},{"issue":"3","key":"10.1016\/j.eswa.2026.133595_bib0089","first-page":"3738","article-title":"Salient object detection via integrity learning","volume":"45","author":"Zhuge","year":"2022","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426025030?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426025030?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T19:43:28Z","timestamp":1784231008000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417426025030"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2027,1]]},"references-count":89,"alternative-id":["S0957417426025030"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2026.133595","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2027,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Mamba-driven sifter for salient object detection","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2026.133595","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"133595"}}