{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T16:06:37Z","timestamp":1778256397241,"version":"3.51.4"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100018696","name":"Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018696","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,4,6]]},"DOI":"10.1109\/icassp49660.2025.10890444","type":"proceedings-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T17:15:19Z","timestamp":1741799719000},"page":"1-5","source":"Crossref","is-referenced-by-count":5,"title":["DACAT: Dual-stream Adaptive Clip-aware Time Modeling for Robust Online Surgical Phase Recognition"],"prefix":"10.1109","author":[{"given":"Kaixiang","family":"Yang","sequence":"first","affiliation":[{"name":"Huazhong University of Science and Technology,Wuhan National Laboratory for Optoelectronics"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Li","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology,Wuhan National Laboratory for Optoelectronics"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiwei","family":"Wang","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology,Wuhan National Laboratory for Optoelectronics"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2010.11929"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.113"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2593957"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-018-1882-8"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101572"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2787657"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32254-0_50"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9196674"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3069471"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103126"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59716-0_33"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87202-1_58"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87202-1_57"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/iccv51070.2023.01927"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3265354"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01927"},{"key":"ref20","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume-title":"International Conference on Machine Learning","author":"Ioffe"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01548"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00932"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3242980"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM58861.2023.10385579"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2593957"},{"key":"ref27","volume-title":"Workshop and challenges on modeling and monitoring of computer assisted interventions","author":"Twinanda"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16449-1_46"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref30","article-title":"Sam 2: Segment anything in images and videos","author":"Ravi","year":"2024"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/icassp49660.2025.10888288"},{"key":"ref32","article-title":"Medical sam 2: Segment medical images as video via segment anything model 2","author":"Zhu","year":"2024"}],"event":{"name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Hyderabad, India","start":{"date-parts":[[2025,4,6]]},"end":{"date-parts":[[2025,4,11]]}},"container-title":["ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10887540\/10887541\/10890444.pdf?arnumber=10890444","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T05:22:06Z","timestamp":1774416126000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10890444\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,6]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/icassp49660.2025.10890444","relation":{},"subject":[],"published":{"date-parts":[[2025,4,6]]}}}