{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T10:02:23Z","timestamp":1780999343625,"version":"3.54.1"},"publisher-location":"Singapore","reference-count":23,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819698684","type":"print"},{"value":"9789819698691","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-9869-1_23","type":"book-chapter","created":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T13:43:09Z","timestamp":1753364589000},"page":"267-277","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Emphasizing Object-Background Difference Network for Camouflaged Object Detection"],"prefix":"10.1007","author":[{"given":"Zeyu","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiqing","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Songlin","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,25]]},"reference":[{"key":"23_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.comcom.2020.03.012","volume":"156","author":"B Mishra","year":"2020","unstructured":"Mishra, B., Garg, D., Narang, P., Mishra, V.: Drone-surveillance for search and rescue in natural disaster. Comput. Commun. 156, 1\u201310 (2020)","journal-title":"Comput. Commun."},{"key":"23_CR2","doi-asserted-by":"crossref","unstructured":"Fan, D.P., et al.: Pranet: Parallel reverse attention network for polyp segmentation. In: Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2020: 23rd International Conference, Lima, Peru, October 4\u20138, 2020, Proceedings, Part VI 23, pp. 263\u2013273. Springer (2020)","DOI":"10.1007\/978-3-030-59725-2_26"},{"key":"23_CR3","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. pp. 2777\u20132787 (2020)","DOI":"10.1109\/CVPR42600.2020.00285"},{"issue":"10","key":"23_CR4","doi-asserted-by":"publisher","first-page":"6024","DOI":"10.1109\/TPAMI.2021.3085766","volume":"44","author":"DP 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(10), 6024\u20136042 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"23_CR5","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: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8772\u20138781 (2021)","DOI":"10.1109\/CVPR46437.2021.00866"},{"key":"23_CR6","doi-asserted-by":"crossref","unstructured":"Sun, Y., Wang, S., Chen, C., Xiang, T.Z.: Boundary-guided camouflaged object detection. In: IJCAI, pp. 1335\u20131341 (2022)","DOI":"10.24963\/ijcai.2022\/186"},{"key":"23_CR7","doi-asserted-by":"publisher","first-page":"7036","DOI":"10.1109\/TIP.2022.3217695","volume":"31","author":"T Zhou","year":"2022","unstructured":"Zhou, T., Zhou, Y., Gong, C., Yang, J., Zhang, Y.: Feature aggregation and propagation network for camouflaged object detection. IEEE Trans. Image Process. 31, 7036\u20137047 (2022)","journal-title":"IEEE Trans. Image Process."},{"issue":"3","key":"23_CR8","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1007\/s41095-022-0274-8","volume":"8","author":"W Wang","year":"2022","unstructured":"Wang, W., et al.: Pvt v2: improved baselines with pyramid vision transformer. Comput. Vis. Media 8(3), 415\u2013424 (2022)","journal-title":"Comput. Vis. Media"},{"key":"23_CR9","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks. In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7132\u20137141 (2018)","DOI":"10.1109\/CVPR.2018.00745"},{"key":"23_CR10","doi-asserted-by":"crossref","unstructured":"Zhao, T., Wu, X.: Pyramid feature attention network for saliency detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3085\u20133094 (2019)","DOI":"10.1109\/CVPR.2019.00320"},{"key":"23_CR11","doi-asserted-by":"crossref","unstructured":"Xie, E., Wang, W., Wang, W., Ding, M., Shen, C., Luo, P.: Segmenting transparent objects in the wild. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XIII 16, pp. 696\u2013711. Springer (2020)","DOI":"10.1007\/978-3-030-58601-0_41"},{"key":"23_CR12","doi-asserted-by":"crossref","unstructured":"Zhu, H., et al.: I can find you! boundary-guided separated attention network for camouflaged object detection. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, pp. 3608\u20133616 (2022)","DOI":"10.1609\/aaai.v36i3.20273"},{"key":"23_CR13","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1007\/s11633-022-1365-9","volume":"20","author":"GP Ji","year":"2023","unstructured":"Ji, G.P., Fan, D.P., Chou, Y.C., Dai, D., Liniger, A., Van Gool, L.: Deep gradient learning for efficient camouflaged object detection. Mach. Intell. Res. 20, 92\u2013108 (2023)","journal-title":"Mach. Intell. Res."},{"key":"23_CR14","doi-asserted-by":"crossref","unstructured":"Huang, Z., et al.: Feature shrinkage pyramid for camouflaged object detection with transformers. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)","DOI":"10.1109\/CVPR52729.2023.00538"},{"key":"23_CR15","doi-asserted-by":"crossref","unstructured":"Liu, Z., Jiang, P., Lin, L., Deng, X.: Edge attention learning for efficient camouflaged object detection. In: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5230\u20135234 (2024)","DOI":"10.1109\/ICASSP48485.2024.10448139"},{"key":"23_CR16","doi-asserted-by":"publisher","first-page":"7114","DOI":"10.1109\/TMM.2024.3360710","volume":"26","author":"X Zhou","year":"2024","unstructured":"Zhou, X., Wu, Z., Cong, R.: Decoupling and integration network for camouflaged object detection. IEEE Trans. Multimedia 26, 7114\u20137129 (2024)","journal-title":"IEEE Trans. Multimedia"},{"key":"23_CR17","doi-asserted-by":"crossref","unstructured":"Yu, Z., Zhang, X., Zhao, L., Bin, Y., Xiao, G.: Exploring deeper! segment anything model with depth perception for camouflaged object detection. In: Proceedings of the 32nd ACM International Conference on Multimedia, MM \u201824, pp. 4322\u20134330. Association for Computing Machinery, New York (2024)","DOI":"10.1145\/3664647.3681119"},{"key":"23_CR18","doi-asserted-by":"crossref","unstructured":"Fan, D.P., Cheng, M.M., Liu, Y., Li, T., Borji, A.: Structure-measure: a new way to evaluate foreground maps. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 4548\u20134557 (2017)","DOI":"10.1109\/ICCV.2017.487"},{"key":"23_CR19","doi-asserted-by":"crossref","unstructured":"Margolin, R., Zelnik-Manor, L., Tal, A.: How to evaluate foreground maps? In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 248\u2013255 (2014)","DOI":"10.1109\/CVPR.2014.39"},{"key":"23_CR20","doi-asserted-by":"crossref","unstructured":"Fan, D.P., Ji, G.P., Qin, X., Cheng, M.M.: Cognitive vision inspired object segmentation metric and loss function. Scientia Sinica Informationis 6(6) (2021)","DOI":"10.1360\/SSI-2020-0370"},{"key":"23_CR21","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: 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 733\u2013740. IEEE (2012)","DOI":"10.1109\/CVPR.2012.6247743"},{"key":"23_CR22","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.cviu.2019.04.006","volume":"184","author":"TN Le","year":"2019","unstructured":"Le, T.N., Nguyen, T.V., Nie, Z., Tran, M.T., Sugimoto, A.: Anabranch network for camouflaged object segmentation. Comput. Vis. Image Underst. 184, 45\u201356 (2019)","journal-title":"Comput. Vis. Image Underst."},{"key":"23_CR23","doi-asserted-by":"crossref","unstructured":"Lv, Y., et al.: Simultaneously localize, segment and rank the camouflaged objects. In: Proceedings of the IEEE\/CVF CVPR, pp. 11591\u201311601 (2021)","DOI":"10.1109\/CVPR46437.2021.01142"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-9869-1_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T09:47:37Z","timestamp":1780998457000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-9869-1_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819698684","9789819698691"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-9869-1_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"25 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ningbo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/icg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}