{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:09:59Z","timestamp":1740100199105,"version":"3.37.3"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100007219","name":"Shanghai Municipal Natural Science Foundation","doi-asserted-by":"publisher","award":["18ZR1401200"],"award-info":[{"award-number":["18ZR1401200"]}],"id":[{"id":"10.13039\/100007219","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9534041","type":"proceedings-article","created":{"date-parts":[[2021,9,20]],"date-time":"2021-09-20T21:27:41Z","timestamp":1632173261000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["FA-GAL-ResNet: Lightweight Residual Network using Focused Attention Mechanism and Generative Adversarial Learning via Knowledge Distillation"],"prefix":"10.1109","author":[{"given":"Hequn","family":"Yang","sequence":"first","affiliation":[]},{"given":"Ting","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Wenjing","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Shan","family":"Chang","sequence":"additional","affiliation":[]},{"given":"Guohua","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Yiyang","family":"Luo","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01155"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01155"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.754"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3210240.3210337"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-015-2967-9"},{"key":"ref12","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.11876","article-title":"Deeprebirth: Accelerating deep neural network execution on mobile devices","volume":"32","author":"li","year":"2018","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2019.2910232"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2020.2976475"},{"key":"ref15","first-page":"1387","article-title":"Dynamic network surgery for efficient DNNs","author":"guo","year":"2016","journal-title":"Proceedings of the 30th International Conference on Neural Information Processing Systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref17","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","volume":"28","author":"han","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8546129"},{"key":"ref19","first-page":"1","article-title":"Neural architecture search: A survey","volume":"20","author":"elsken","year":"2019","journal-title":"J Mach Learn Res"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2662071"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2903943"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICMEW.2019.00042"},{"key":"ref6","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.274"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3408127.3408159"},{"key":"ref8","article-title":"A survey of model compression and acceleration for deep neural networks","author":"cheng","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.59"},{"key":"ref2","article-title":"Knowledge Distillation for Singing Voice Detection","author":"paul","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2765695"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2883743"},{"key":"ref20","first-page":"6382","article-title":"Global sparse momentum sgd for pruning very deep neural networks","author":"ding","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref22","article-title":"Towards the limit of network quantization","author":"choi","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref21","first-page":"4107","article-title":"Binarized neural networks","volume":"29","author":"hubara","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref24","first-page":"2654","article-title":"Do deep nets really need to be deep?","volume":"27","author":"ba","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00409"},{"key":"ref26","article-title":"Darkrank: Accelerating deep metric learning via cross sample similarities transfer","volume":"32","author":"chen","year":"2018","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref25","article-title":"QUEST: Quantized embedding space for transferring knowledge","author":"jain","year":"2019","journal-title":"ArXiv Preprint"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2021,7,18]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09534041.pdf?arnumber=9534041","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T19:47:04Z","timestamp":1673293624000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9534041\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9534041","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}