{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T16:54:44Z","timestamp":1773248084317,"version":"3.50.1"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"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":[[2019,9]]},"DOI":"10.1109\/icip.2019.8803034","type":"proceedings-article","created":{"date-parts":[[2019,8,26]],"date-time":"2019-08-26T19:32:48Z","timestamp":1566847968000},"page":"914-918","source":"Crossref","is-referenced-by-count":6,"title":["Cluster Regularized Quantization for Deep Networks Compression"],"prefix":"10.1109","author":[{"given":"Yiming","family":"Hu","sequence":"first","affiliation":[]},{"given":"Jianquan","family":"Li","sequence":"additional","affiliation":[]},{"given":"Xianlei","family":"Long","sequence":"additional","affiliation":[]},{"given":"Shenhua","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Jiagang","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Xingang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Qingyi","family":"Gu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"3123","article-title":"Binaryconnect: Training deep neural networks with binary weights during propagations","author":"courbariaux","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref11","first-page":"525","article-title":"Xnor-net: Imagenet classification using binary convolutional neural networks","author":"rastegari","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref12","article-title":"Ternary weight networks","author":"li","year":"2016","journal-title":"arXiv preprint arXiv 1605 04711"},{"key":"ref13","first-page":"963","article-title":"Expectation back-propagation: Parameter-free training of multilayer neural networks with continuous or discrete weights","author":"soudry","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.282"},{"key":"ref16","article-title":"Trained ternary quantization","author":"zhu","year":"2016","journal-title":"arXiv preprint arXiv 1612 01064"},{"key":"ref17","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"han","year":"2015","journal-title":"arXiv preprint arXiv 1510 00149"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298598"},{"key":"ref19","article-title":"Deep k-means: Retraining and parameter sharing with harder cluster assignments for compressing deep convolutions","author":"wu","year":"2018","journal-title":"arXiv preprint arXiv 1806 09228"},{"key":"ref4","first-page":"545","article-title":"Factorized convolutional neural networks","author":"wang","year":"2017","journal-title":"ICCV Workshops"},{"key":"ref3","first-page":"1269","article-title":"Exploiting linear structure within convolutional networks for efficient evaluation","author":"denton","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref6","article-title":"Shufflenet: An extremely efficient convolutional neural network for mobile devices","author":"zhang","year":"2017","journal-title":"arXiv preprint arXiv 1707 01083"},{"key":"ref5","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv preprint arXiv 1704 04861"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.761"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00460"},{"key":"ref2","article-title":"Network trimming: A data-driven neuron pruning approach towards efficient deep architectures","author":"hu","year":"2016","journal-title":"arXiv preprint arXiv 1607 03250"},{"key":"ref1","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","author":"han","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref9","article-title":"Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1","author":"courbariaux","year":"2016","journal-title":"arXiv preprint arXiv 1602 02830"},{"key":"ref20","article-title":"Soft weight-sharing for neural network compression","author":"ullrich","year":"2017","journal-title":"arXiv preprint arXiv 1702 04008"},{"key":"ref22","article-title":"Pytorch: Tensors and dynamic neural networks in python with strong gpu acceleration, may 2017","author":"paszke","year":"0"},{"key":"ref21","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009","journal-title":"Tech Rep"}],"event":{"name":"2019 IEEE International Conference on Image Processing (ICIP)","location":"Taipei, Taiwan","start":{"date-parts":[[2019,9,22]]},"end":{"date-parts":[[2019,9,25]]}},"container-title":["2019 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8791230\/8799366\/08803034.pdf?arnumber=8803034","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T15:19:59Z","timestamp":1658157599000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8803034\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icip.2019.8803034","relation":{},"subject":[],"published":{"date-parts":[[2019,9]]}}}