{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,15]],"date-time":"2026-02-15T21:13:16Z","timestamp":1771189996315,"version":"3.50.1"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"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":[[2023,6,4]]},"DOI":"10.1109\/icassp49357.2023.10096721","type":"proceedings-article","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T17:28:30Z","timestamp":1683307710000},"page":"1-5","source":"Crossref","is-referenced-by-count":2,"title":["Filter Pruning Via Filters Similarity in Consecutive Layers"],"prefix":"10.1109","author":[{"given":"Xiaorui","family":"Wang","sequence":"first","affiliation":[{"name":"Ping An Technology Co. Ltd,AI Platform Group,Beijing,China"}]},{"given":"Jun","family":"Wang","sequence":"additional","affiliation":[{"name":"Ping An Technology Co. Ltd,AI Platform Group,Beijing,China"}]},{"given":"Xin","family":"Tang","sequence":"additional","affiliation":[{"name":"Ping An Property &#x0026; Casualty Insurance Company,Visual Computing Group,Shenzhen,China"}]},{"given":"Peng","family":"Gao","sequence":"additional","affiliation":[{"name":"Ping An Technology Co. Ltd,AI Platform Group,Beijing,China"}]},{"given":"Rui","family":"Fang","sequence":"additional","affiliation":[{"name":"Ping An Property &#x0026; Casualty Insurance Company,Visual Computing Group,Shenzhen,China"}]},{"given":"Guotong","family":"Xie","sequence":"additional","affiliation":[{"name":"Ping An Technology Co. Ltd,AI Platform Group,Beijing,China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00915"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00958"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00208"},{"key":"ref14","article-title":"Compact model training by low-rank projection with energy transfer","author":"guo","year":"2022"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00159"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00160"},{"key":"ref21","article-title":"Aacp: Model compression by accurate and automatic channel pruning","author":"lin","year":"2021"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00447"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/309"},{"key":"ref17","article-title":"Training compact cnns for image classification using dynamic-coded filter fusion","author":"lin","year":"2021"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/94"},{"key":"ref19","article-title":"Gate decorator: Global filter pruning method for accelerating deep convolutional neural networks","author":"you","year":"2019","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3156047"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00290"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_19"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00804"},{"key":"ref4","article-title":"Pruning filters for efficient convnets","author":"li","year":"2017","journal-title":"International Conference on Learning Representations"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01152"},{"key":"ref6","article-title":"Network trimming: A data-driven neuron pruning approach towards efficient deep architectures","author":"hu","year":"2016"},{"key":"ref5","article-title":"Pruning convolutional neural networks for resource efficient transfer learning","author":"molchanov","year":"2016","journal-title":"CoRR"}],"event":{"name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Rhodes Island, Greece","start":{"date-parts":[[2023,6,4]]},"end":{"date-parts":[[2023,6,10]]}},"container-title":["ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10094559\/10094560\/10096721.pdf?arnumber=10096721","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T19:02:59Z","timestamp":1699902179000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10096721\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,4]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icassp49357.2023.10096721","relation":{},"subject":[],"published":{"date-parts":[[2023,6,4]]}}}