{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T03:28:07Z","timestamp":1777865287243,"version":"3.51.4"},"reference-count":49,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62322117,62425109,62371365,U24B20136,U22B2014"],"award-info":[{"award-number":["62322117,62425109,62371365,U24B20136,U22B2014"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,19]]},"DOI":"10.1109\/iccv51701.2025.02282","type":"proceedings-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:45:49Z","timestamp":1777491949000},"page":"24615-24624","source":"Crossref","is-referenced-by-count":0,"title":["Allowing Oscillation Quantization: Overcoming Solution Space Limitation in Low Bit-Width Quantization"],"prefix":"10.1109","author":[{"given":"Weiying","family":"Xie","sequence":"first","affiliation":[{"name":"Xidian University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zihan","family":"Meng","sequence":"additional","affiliation":[{"name":"Xidian University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jitao","family":"Ma","sequence":"additional","affiliation":[{"name":"Xidian University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenjin","family":"Guo","sequence":"additional","affiliation":[{"name":"Xidian University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haowei","family":"Li","sequence":"additional","affiliation":[{"name":"Xidian University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haonan","family":"Qin","sequence":"additional","affiliation":[{"name":"Xidian University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leyuan","family":"Fang","sequence":"additional","affiliation":[{"name":"Hunan University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunsong","family":"Li","sequence":"additional","affiliation":[{"name":"Xidian University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.334"},{"key":"ref2","article-title":"Estimating or propagating gradients through stochastic neurons for conditional computation","author":"Bengio","year":"2013","journal-title":"arXiv preprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01379-y"},{"key":"ref4","article-title":"Metaquant: Learning to quantize by learning to penetrate non-differentiable quantization","author":"Chen","year":"2019","journal-title":"Neural Information Processing Systems"},{"key":"ref5","article-title":"Pact: Parameterized clipping activation for quantized neural networks","author":"Choi","year":"2018","journal-title":"arXiv preprint"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11008-0_2"},{"key":"ref7","article-title":"Binaryconnect: Training deep neural networks with binary weights during propagations","volume-title":"Neural Information Processing Systems","author":"Courbariaux","year":"2015"},{"key":"ref8","article-title":"Differentiable model compression via pseudo quantization noise","author":"D\u00e9fossez","year":"2021","journal-title":"Transactions on Machine Learning Research"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.52202\/068431-2198"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.52202\/075280-0441"},{"key":"ref12","article-title":"Learned step size quantization","author":"Esser","year":"2019","journal-title":"arXiv preprint"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00495"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00521"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.52202\/075280-0580"},{"key":"ref17","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv preprint"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00286"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00448"},{"key":"ref20","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv preprint"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1126\/science.220.4598.671"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_3"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00638"},{"key":"ref24","article-title":"Flexround: Learnable rounding based on elementwise division for post-training quantization","volume-title":"International Conference on Machine Learning","author":"Lee","year":"2023"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11713"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01560"},{"key":"ref27","article-title":"Additive powers-oftwo quantization: An efficient non-uniform discretization for neural networks","volume-title":"International Conference on Learning Representations","author":"Li","year":"2019"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.52202\/068431-2496"},{"key":"ref29","article-title":"Qvit: Fully differentiable quantization for vision transformer","author":"Li","year":"2022","journal-title":"arXiv preprint"},{"key":"ref30","article-title":"Oscillationfree quantization for low-bit vision transformers","volume-title":"International Conference on Machine Learning","author":"Liu","year":"2023"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_44"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.00489"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref34","article-title":"Sgdr: Stochastic gradient descent with warm restarts","author":"Loshchilov","year":"2016","journal-title":"arXiv preprint"},{"key":"ref35","first-page":"7197","article-title":"Up or down? adaptive rounding for post-training quantization","volume-title":"International Conference on Machine Learning","author":"Nagel","year":"2020"},{"key":"ref36","article-title":"Overcoming oscillations in quantization-aware training","volume-title":"International Conference on Machine Learning","author":"Nagel","year":"2022"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-021-06053-z"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52729.2023.00375"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.52202\/068431-1563"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1086\/418447"},{"key":"ref41","article-title":"Training data-efficient image transformers & distillation through attention","volume-title":"International Conference on Machine Learning","author":"Touvron","year":"2020"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00212"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00499"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00748"},{"key":"ref45","article-title":"Understanding straight-through estimator in training activation quantized neural nets","volume-title":"International Conference on Learning Representations","author":"Yin","year":"2019"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_23"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.11.024"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00354"},{"key":"ref49","article-title":"Dorefa-net: Training low bitwidth convolutional neural networks with low bitwidth gradients","author":"Zhou","year":"2016","journal-title":"arXiv preprint"}],"event":{"name":"2025 IEEE\/CVF International Conference on Computer Vision (ICCV)","location":"Honolulu, HI, USA","start":{"date-parts":[[2025,10,19]]},"end":{"date-parts":[[2025,10,25]]}},"container-title":["2025 IEEE\/CVF International Conference on Computer Vision (ICCV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11443115\/11443287\/11444246.pdf?arnumber=11444246","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T06:11:27Z","timestamp":1777529487000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11444246\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/iccv51701.2025.02282","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}