{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T18:01:12Z","timestamp":1755799272906,"version":"3.44.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"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":[[2019,6]]},"DOI":"10.1109\/bmsb47279.2019.8971889","type":"proceedings-article","created":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T02:05:41Z","timestamp":1580436341000},"page":"1-5","source":"Crossref","is-referenced-by-count":3,"title":["Lasso Regression Based Channel Pruning for Efficient Object Detection Model"],"prefix":"10.1109","author":[{"given":"Xiang","family":"Li","sequence":"first","affiliation":[{"name":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyong","family":"Gao","sequence":"additional","affiliation":[{"name":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunxian","family":"Wang","sequence":"additional","affiliation":[{"name":"Research &#x0026; Advanced Technology,Department SAIC Motor Corporation Limited,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyang","family":"Chen","sequence":"additional","affiliation":[{"name":"Research &#x0026; Advanced Technology,Department SAIC Motor Corporation Limited,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref12","article-title":"ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices","author":"zhang","year":"2017","journal-title":"arXiv preprint arXiv 1707 01083"},{"key":"ref13","article-title":"Pelee: A real-time object detection system on mobile devices","author":"wang","year":"2018","journal-title":"ICLRE"},{"key":"ref14","article-title":"Deep compression: Compressing deep neural network with pruning, trained quantization and huffman coding","author":"han","year":"2016","journal-title":"ICLRE"},{"key":"ref15","article-title":"Pruning filters for efficient convnets","author":"li","year":"2016","journal-title":"arXiv preprint arXiv 1608 08710"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.298"},{"key":"ref18","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"ICML"},{"key":"ref19","article-title":"Learning structured sparsity in deep neural networks","author":"wen","year":"2016","journal-title":"NISP"},{"key":"ref4","article-title":"YOLO9000: Better, Faster, Stronger","author":"redmon","year":"2014","journal-title":"CVPR"},{"key":"ref3","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"NIPS"},{"key":"ref6","article-title":"Ternary weight networks","author":"li","year":"2016","journal-title":"arXiv preprint arXiv 1605 04711"},{"key":"ref5","article-title":"SSD: Single shot multibox detector","author":"liu","year":"2016","journal-title":"ECCV"},{"key":"ref8","article-title":"Squeezenet: Alexnet-level accuracy with 50x fewer parameters and < 0.5 MB model size","author":"iandola","year":"2016","journal-title":"arXiv preprint arXiv 1602 07360"},{"key":"ref7","article-title":"Ristretto: Hardware-oriented approximation of convolutional neural networks","author":"gysel","year":"2016","journal-title":"arXiv preprint arXiv 1605 01014"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref9","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv preprint arXiv 1704 04861"},{"key":"ref20","article-title":"Learning both weights and connections for efficient neural network","author":"han","year":"2015","journal-title":"NISP"}],"event":{"name":"2019 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","start":{"date-parts":[[2019,6,5]]},"location":"Jeju, Korea (South)","end":{"date-parts":[[2019,6,7]]}},"container-title":["2019 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8964253\/8971836\/08971889.pdf?arnumber=8971889","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,19]],"date-time":"2025-08-19T18:11:16Z","timestamp":1755627076000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8971889\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/bmsb47279.2019.8971889","relation":{},"subject":[],"published":{"date-parts":[[2019,6]]}}}