{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T17:54:47Z","timestamp":1769363687218,"version":"3.49.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"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":[[2021,1,10]]},"DOI":"10.1109\/icpr48806.2021.9413102","type":"proceedings-article","created":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T02:15:54Z","timestamp":1620267354000},"page":"1189-1196","source":"Crossref","is-referenced-by-count":5,"title":["SCA Net: Sparse Channel Attention Module for Action Recognition"],"prefix":"10.1109","author":[{"given":"Hang","family":"Song","sequence":"first","affiliation":[{"name":"College of Artificial Intelligence, Xi'an Jiaotong University,Xi'an,China"}]},{"given":"YongHong","family":"Song","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence, Xi'an Jiaotong University,Xi'an,China"}]},{"given":"YuanLin","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence, Xi'an Jiaotong University,Xi'an,China"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref11","article-title":"ShuffleNet: An extremely efficient convolutional neural network for mobile devices","volume":"abs 1707 1083","author":"zhang","year":"2017","journal-title":"CoRR"},{"key":"ref12","author":"hu","year":"2017","journal-title":"Squeeze-and-Excitation Networks"},{"key":"ref13","article-title":"CBAM: Convolutional block attention module","author":"woo","year":"2018","journal-title":"ECCV"},{"key":"ref14","author":"tran","year":"2017","journal-title":"A closer look at spatiotemporal convolutions for action recognition"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00565"},{"key":"ref17","article-title":"GC Net: Non-local Networks Meet Squeeze-Excitation Networks and Beyond","author":"cao","year":"2019","journal-title":"CVPR"},{"key":"ref18","article-title":"Temporal shift module for efficient video understanding","volume":"abs 1811 8383","author":"lin","year":"2018","journal-title":"CoRR"},{"key":"ref19","article-title":"Large scale video classification with convolutional neural networks","author":"shetty","year":"2014","journal-title":"CVPR"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00685"},{"key":"ref6","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"NIPS"},{"key":"ref5","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","volume":"abs 1704 4861","author":"howard","year":"2017","journal-title":"CoRR"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref7","article-title":"Learning spatiotemporal representation with pseudo-3d residual networks","author":"qiu","year":"2017","journal-title":"ICCV"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref9","article-title":"Nonlocal neural networks","author":"wang","year":"2018","journal-title":"CVPR"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.502"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2712608"},{"key":"ref22","article-title":"Spatial Mask Convlstm Network And Intra-Class Joint Training Method For Human Action Recognition in Video","author":"chen","year":"2018","journal-title":"ICME"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00054"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00314"},{"key":"ref23","article-title":"Rethinking the Inception Architecture for Computer Vision","author":"szegedy","year":"2015","journal-title":"CVPR"},{"key":"ref26","article-title":"A2-Nets: Double attention networks","author":"chen","year":"2018","journal-title":"NIPS"},{"key":"ref25","article-title":"Gather-excite: Exploiting feature context in convolutional neural networks","author":"hu","year":"2018","journal-title":"NeurIPS"}],"event":{"name":"2020 25th International Conference on Pattern Recognition (ICPR)","location":"Milan, Italy","start":{"date-parts":[[2021,1,10]]},"end":{"date-parts":[[2021,1,15]]}},"container-title":["2020 25th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9411940\/9411911\/09413102.pdf?arnumber=9413102","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T00:09:24Z","timestamp":1659485364000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9413102\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,10]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icpr48806.2021.9413102","relation":{},"subject":[],"published":{"date-parts":[[2021,1,10]]}}}