{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T06:22:20Z","timestamp":1778048540866,"version":"3.51.4"},"reference-count":55,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T00:00:00Z","timestamp":1772755200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T00:00:00Z","timestamp":1772755200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100017223","name":"National Energy Research Scientific Computing Center","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100017223","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,3,6]]},"DOI":"10.1109\/wacv61042.2026.00469","type":"proceedings-article","created":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T19:59:32Z","timestamp":1778011172000},"page":"4827-4837","source":"Crossref","is-referenced-by-count":0,"title":["FCC: Fully Connected Correlation for One-Shot Segmentation"],"prefix":"10.1109","author":[{"given":"Seonghyeon","family":"Moon","sequence":"first","affiliation":[{"name":"Roblox, Brookhaven National Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haein","family":"Kong","sequence":"additional","affiliation":[{"name":"Rutgers University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad Haris","family":"Khan","sequence":"additional","affiliation":[{"name":"Mohamed Bin Zayed University of Artificial Intelligence"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mubbasir","family":"Kapadia","sequence":"additional","affiliation":[{"name":"Roblox"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuewei","family":"Lin","sequence":"additional","affiliation":[{"name":"Brookhaven National Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-023-00727-2"},{"key":"ref2","article-title":"High-performance few-shot segmentation with foundation models: An empirical study","author":"Chang","year":"2024"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"issue":"1","key":"ref4","first-page":"795","article-title":"Algorithms for learning kernels based on centered alignment","volume":"13","author":"Cortes","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref5","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2021"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_20"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref9","article-title":"Cost Aggregation Is All You Need for Few-Shot Segmentation","author":"Hong","year":"2021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19818-2_7"},{"key":"ref11","article-title":"Suppressing the heterogeneity: A strong feature extractor for few-shot segmentation","volume-title":"The Eleventh International Conference on Learning Representations","author":"Hu"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2024.3373630"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3154402"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00974"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1406.3269"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref17","first-page":"3519","article-title":"Similarity of neural network representations revisited","volume-title":"Proceedings of the 36th International Conference on Machine Learning","author":"Kornblith"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00789"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00823"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43895-0_22"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3187855"},{"key":"ref23","article-title":"Matcher: Segment anything with one shot using all-purpose feature matching","author":"Liu","year":"2023"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref25","article-title":"Simpler is Better: Few-shot Semantic Segmen tation with Classifier Weight Transformer","volume-title":"Proceedings of International Conference on Computer Vision (ICCV)","author":"Lu"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/iccv48922.2021.00686"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20044-1_29"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01765"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00071"},{"key":"ref30","article-title":"Dinov2: Learning robust visual features without supervision","author":"Oquab","year":"2023"},{"key":"ref31","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"International conference on machine learning","author":"Radford"},{"key":"ref32","first-page":"12116","article-title":"Do vision transformers see like convolutional neural networks?","volume":"34","author":"Raghu","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref33","article-title":"Conditional Networks for Few-Shot Semantic Segmentation","volume-title":"Workshop Track Proceedings of International Conference on Learning Representations (ICLR)","author":"Rakelly"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.167"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20044-1_9"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00535"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295163"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3582688"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02224"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3013717"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3013717"},{"key":"ref42","article-title":"Training data-efficient image transformers distillation through attention","author":"Touvron","year":"2021"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58601-0_43"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00378"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00929"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52729.2023.00660"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/iccv51070.2023.00110"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3386252"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00694"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58598-3_45"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00536"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.52202\/068431-0476"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2992433"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00296"}],"event":{"name":"2026 IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)","location":"Tucson, AZ, USA","start":{"date-parts":[[2026,3,6]]},"end":{"date-parts":[[2026,3,10]]}},"container-title":["2026 IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11491838\/11491925\/11492702.pdf?arnumber=11492702","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T06:09:24Z","timestamp":1778047764000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11492702\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,6]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/wacv61042.2026.00469","relation":{},"subject":[],"published":{"date-parts":[[2026,3,6]]}}}