{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T15:49:14Z","timestamp":1768232954909,"version":"3.49.0"},"publisher-location":"Singapore","reference-count":35,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819557394","type":"print"},{"value":"9789819557400","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-981-95-5740-0_24","type":"book-chapter","created":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T12:24:34Z","timestamp":1768220674000},"page":"345-359","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Foundational and\u00a0Specialized Continual Learning for\u00a0Unsupervised Video Object Segmentation via\u00a0Lie Group Structural Adapter"],"prefix":"10.1007","author":[{"given":"Hanwen","family":"Qian","sequence":"first","affiliation":[]},{"given":"Jiaqing","family":"Fan","sequence":"additional","affiliation":[]},{"given":"Fanzhang","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,1,13]]},"reference":[{"key":"24_CR1","doi-asserted-by":"crossref","unstructured":"Lee, M., Cho, S., Lee, D., Park, C., Lee, J., Lee, S.: Guided slot attention for unsupervised video object segmentation. In: CVPR (2024)","DOI":"10.1109\/CVPR52733.2024.00365"},{"key":"24_CR2","doi-asserted-by":"crossref","unstructured":"Cho, S., et al.: Dual prototype attention for unsupervised video object segmentation. In: CVPR (2024)","DOI":"10.1109\/CVPR52733.2024.01820"},{"key":"24_CR3","doi-asserted-by":"crossref","unstructured":"Wang, Z., Zhang, W., Li, J., Zhu, W., Song, D.: PRM: A Pixel-Region-Matching Approach for Fast Video Object Segmentation. In: PRCV (2024)","DOI":"10.1007\/978-981-97-8505-6_6"},{"key":"24_CR4","doi-asserted-by":"crossref","unstructured":"Cao, T., Zhao, S.: RT-VIS: Real-time video instance segmentation with light-weight decoupled framework. In: PRCV (2024)","DOI":"10.1007\/978-981-97-8792-0_34"},{"key":"24_CR5","volume-title":"Chi-Man Pun and Xiaodong Cun","author":"W Liu","year":"2024","unstructured":"Liu, W., Shen, X., Li, H., Bi, X., Liu, B.: Chi-Man Pun and Xiaodong Cun. Depth-aware Test-Time Training for Zero-shot Video Object Segmentation, In CVPR (2024)"},{"key":"24_CR6","doi-asserted-by":"crossref","unstructured":"Su, T., Song, H., Liu, D., Liu, B., Liu, Q.: Unsupervised video object segmentation with online adversarial self-tuning. In: ICCV (2023)","DOI":"10.1109\/ICCV51070.2023.00070"},{"key":"24_CR7","doi-asserted-by":"crossref","unstructured":"Lee, M., Cho, S., Lee, S., Park, C., Lee, S.: Unsupervised video object segmentation via prototype memory network. In: WACV (2023)","DOI":"10.1109\/WACV56688.2023.00587"},{"key":"24_CR8","doi-asserted-by":"crossref","unstructured":"Cho, S., Lee, M., Lee, S., Park, C., Kim, D., Lee, S.: Treating motion as option to reduce motion dependency in unsupervised video object segmentation. In: WACV (2023)","DOI":"10.2139\/ssrn.4710755"},{"key":"24_CR9","doi-asserted-by":"crossref","unstructured":"Fan, J., Su, T., Zhang, K., Liu, B., Liu, Q.: Temporally efficient Gabor transformer for unsupervised video object segmentation. In: ACMMM (2023)","DOI":"10.1145\/3581783.3612017"},{"key":"24_CR10","unstructured":"Xu, R., Yang, K., Liu, K., He, F.: E(2)-Equivariant Vision Transformer. In: UAI (2023)"},{"key":"24_CR11","unstructured":"Oh, Y., Baek, D., Ham, u.: ALIFE: Adaptive logit regularizer and feature replay for incremental semantic segmentation. In: NeurIPS (2022)"},{"key":"24_CR12","doi-asserted-by":"crossref","unstructured":"Yu, Y., Yuan, J., Mittal, G., Fuxin, L., Chen, M.: BATMAN: bilateral attention transformer in motion-appearance neighboring space for video object segmentation. In: ECCV (2022)","DOI":"10.1007\/978-3-031-19818-2_35"},{"key":"24_CR13","doi-asserted-by":"crossref","unstructured":"Pei, G., Shen, F., Yao, Y., Xie, G.-S., Tang, Z., Tang, J.: Hierarchical feature alignment network for unsupervised video object segmentation. In: ECCV (2022)","DOI":"10.1007\/978-3-031-19830-4_34"},{"key":"24_CR14","volume-title":"Marco Ciccone and Barbara Caputo","author":"F Cermelli","year":"2022","unstructured":"Cermelli, F., Fontanel, D., Tavera, A.: Marco Ciccone and Barbara Caputo. Incremental Learning in Semantic Segmentation from Image Labels, In CVPR (2022)"},{"key":"24_CR15","doi-asserted-by":"crossref","unstructured":"Lee, Y., Seong, H., Kim, E.: Iteratively selecting an easy reference frame makes unsupervised video object segmentation easier. In: AAAI (2022)","DOI":"10.1609\/aaai.v36i2.20011"},{"key":"24_CR16","volume-title":"Arnaud Dapogny and Matthieu Cord","author":"A Douillard","year":"2021","unstructured":"Douillard, A., Chen, Y.: Arnaud Dapogny and Matthieu Cord. Learning without Forgetting for Continual Semantic Segmentation. In CVPR, PLOP (2021)"},{"key":"24_CR17","volume-title":"Jose M Alvarez, and Ping Luo","author":"E Xie","year":"2021","unstructured":"Xie, E., Wang, W., Zhiding, Yu., Anandkumar, A.: Jose M Alvarez, and Ping Luo. Simple and efficient design for semantic segmentation with transformers. In NeurIPS, Segformer (2021)"},{"key":"24_CR18","unstructured":"Ren, S., Liu, W., Liu, Y., Chen, H., Han, G., He, S.: Reciprocal transformations for unsupervised video object segmentation. In: CVPR (2021)"},{"key":"24_CR19","doi-asserted-by":"crossref","unstructured":"Yang, S., Zhang, L., Qi, J., Lu, H., Wang, S., Zhang, X.: Learning motion-appearance co-attention for zero-shot video object segmentation. In: ICCV (2021)","DOI":"10.1109\/ICCV48922.2021.00159"},{"key":"24_CR20","doi-asserted-by":"crossref","unstructured":"Zhang, K., Zhao, Z., Liu, D., Liu, Q., Liu, B.: Deep Transport Network for Unsupervised Video Object Segmentation. In: ICCV (2021)","DOI":"10.1109\/ICCV48922.2021.00866"},{"key":"24_CR21","unstructured":"Wang, D., Shelhamer, E., Liu, S., Olshausen, B.: Trevor Darrell. Fully test-time adaptation by entropy minimization. In ICLR, Tent (2020)"},{"key":"24_CR22","volume-title":"Xiaolong Wang, Zhuang Liu, John Miller, Alexei Efros, and Moritz Hardt","author":"Yu Sun","year":"2020","unstructured":"Sun, Yu.: Xiaolong Wang, Zhuang Liu, John Miller, Alexei Efros, and Moritz Hardt. Test-time training with selfsupervision for generalization under distribution shifts, In ICML (2020)"},{"key":"24_CR23","doi-asserted-by":"crossref","unstructured":"Zhang, L., Zhang, J., Lin, Z., Mech, R., Lu, H., He, Y.: Unsupervised video object segmentation with joint hotspot tracking. In: ECCV (2020)","DOI":"10.1007\/978-3-030-58568-6_29"},{"key":"24_CR24","doi-asserted-by":"crossref","unstructured":"Cermelli, F., Mancini, M., Bul\u00f2, S.R., Ricci, E., Caputo, B.: Modeling the background for incremental learning in semantic segmentation. In: CVPR (2020)","DOI":"10.1109\/CVPR42600.2020.00925"},{"key":"24_CR25","unstructured":"Zhou, T., Wang, S., Zhou, Y., Yao, Y., Li, J., Shao, L.: Motion-attentive transition for zero-shot video object segmentation. In: AAAI (2020)"},{"key":"24_CR26","volume-title":"Thomas Huang","author":"X Ning","year":"2018","unstructured":"Ning, X., et al.: Thomas Huang. Sequence-to-sequence video object segmentation. In ECCV, Youtube-vos (2018)"},{"key":"24_CR27","doi-asserted-by":"crossref","unstructured":"Jain, S., Xiong, B., Grauman, K.: Fusionseg: Learning to combine motion and appearance for fully automatic segmentation of generic objects in videos. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.228"},{"key":"24_CR28","doi-asserted-by":"crossref","unstructured":"Tokmakov, P., Alahari, K., Schmid, C.: Learning video object segmentation with visual memory. In: ICCV (2017)","DOI":"10.1109\/ICCV.2017.480"},{"key":"24_CR29","volume-title":"N and Kaiser","author":"A Vaswani","year":"2017","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.: N and Kaiser. Illia. Attention is all you need. In NeurIPS, \u0141ukasz and Polosukhin (2017)"},{"key":"24_CR30","doi-asserted-by":"crossref","unstructured":"Perazzi, F., Pont-Tuset, J., McWilliams, B., Gool, L.V., Gross, M., Sorkine-Hornung, A.: A benchmark dataset and evaluation methodology for video object segmentation. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.85"},{"key":"24_CR31","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Li, Z., Yang, X., Yang, M.-H.: Fast object tracking via Spatio-temporal context learning. In: ECCV (2015)","DOI":"10.1007\/978-3-319-10602-1_9"},{"key":"24_CR32","unstructured":"Simonyan, K., ZissermanVery, A.: Deep Convolutional Networks for Large-Scale Image Recognition. In: ICLR (2015)"},{"key":"24_CR33","doi-asserted-by":"crossref","unstructured":"Ochs, P., Malik, J., Brox, T.: Segmentation of moving objects by long term video analysis. In: TPAMI (2013)","DOI":"10.1109\/TPAMI.2013.242"},{"key":"24_CR34","doi-asserted-by":"crossref","unstructured":"Jiang, H., Wu, X., Xu, T.: Asymmetric attention fusion for unsupervised video object segmentation. In: PRCV (2023)","DOI":"10.2139\/ssrn.4345660"},{"key":"24_CR35","doi-asserted-by":"crossref","unstructured":"Prest, A., Leistner, C., Civera, J., Schmid, C., Ferrari, V.: Learning object class detectors from weakly annotated video. In: CVPR (2012)","DOI":"10.1109\/CVPR.2012.6248065"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-5740-0_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T12:25:02Z","timestamp":1768220702000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-5740-0_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819557394","9789819557400"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-5740-0_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"13 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision  (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","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":"15 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2025.prcv.cn\/index.asp","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}