{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T08:07:22Z","timestamp":1761898042154},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T00:00:00Z","timestamp":1721001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T00:00:00Z","timestamp":1721001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,7,15]]},"DOI":"10.1109\/icme57554.2024.10688016","type":"proceedings-article","created":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T17:24:16Z","timestamp":1727717056000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["SAMP: Adapting Segment Anything Model for Pose Estimation"],"prefix":"10.1109","author":[{"given":"Zhihang","family":"Zhu","sequence":"first","affiliation":[{"name":"College of Electrical Engineering Zhejiang University,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunfeng","family":"Yan","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering Zhejiang University,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering Zhejiang University,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoyuan","family":"Jin","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering Zhejiang University,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuesong","family":"Nie","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering Zhejiang University,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donglian","family":"Qi","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering Zhejiang University,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xi","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science The University of Hong Kong,Hong Kong,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"Vitpose: Simple vision transformer baselines for human pose estimation","year":"2022","author":"Xu","key":"ref1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_29"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00584"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01159"},{"article-title":"Hrformer: High-resolution transformer for dense prediction","year":"2021","author":"Yuan","key":"ref6"},{"article-title":"Parameter-efficient transfer learning for nlp","year":"2019","author":"Houlsby","key":"ref7"},{"article-title":"Lora: Low-rank adaptation of large language models","year":"2021","author":"Hu","key":"ref8"},{"article-title":"Benchmarking detection transfer learning with vision transformers","year":"2021","author":"Li","key":"ref9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20077-9_17"},{"article-title":"Vision transformer adapter for dense predictions","year":"2023","author":"Chen","key":"ref11"},{"article-title":"Sam fails to segment anything? \u2013 sam-adapter: Adapting sam in underperformed scenes: Camouflage, shadow, medical image segmentation, and more","year":"2023","author":"Chen","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/bibm58861.2023.10386032"},{"article-title":"Medical sam adapter: Adapting segment anything model for medical image segmentation","year":"2023","author":"Wu","key":"ref14"},{"article-title":"Deep learning using rectified linear units (relu)","year":"2019","author":"Agarap","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01112"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00574"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20068-7_6"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3248144"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICME55011.2023.00453"},{"article-title":"Microsoft coco: Common objects in context","year":"2015","author":"Lin","key":"ref21"},{"article-title":"Crowdpose: Efficient crowded scenes pose estimation and a new benchmark","year":"2018","author":"Li","key":"ref22"},{"article-title":"Openmmlab pose estimation toolbox and benchmark","year":"2020","author":"Contributors","key":"ref23"},{"article-title":"On the convergence of adam and beyond","year":"2019","author":"Reddi","key":"ref24"},{"article-title":"Rmpe: Regional multi-person pose estimation","year":"2018","author":"Fang","key":"ref25"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00311"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58529-7_29"},{"article-title":"Rtmpose: Real-time multi-person pose estimation based on mmpose","year":"2023","author":"Jiang","key":"ref28"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"article-title":"Bisenet v2: Bilateral network with guided aggregation for real-time semantic segmentation","year":"2020","author":"Yu","key":"ref30"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58529-7_36"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2022.103681"},{"article-title":"Aid: Pushing the performance boundary of human pose estimation with information dropping augmentation","year":"2020","author":"Huang","key":"ref33"}],"event":{"name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2024,7,15]]},"location":"Niagara Falls, ON, Canada","end":{"date-parts":[[2024,7,19]]}},"container-title":["2024 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10685847\/10687354\/10688016.pdf?arnumber=10688016","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T06:37:45Z","timestamp":1727764665000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10688016\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,15]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/icme57554.2024.10688016","relation":{},"subject":[],"published":{"date-parts":[[2024,7,15]]}}}