{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T17:37:16Z","timestamp":1777570636961,"version":"3.51.4"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1109\/cvpr46437.2021.00636","type":"proceedings-article","created":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T21:56:02Z","timestamp":1635890162000},"page":"6424-6433","source":"Crossref","is-referenced-by-count":29,"title":["Learning Student Networks in the Wild"],"prefix":"10.1109","author":[{"given":"Hanting","family":"Chen","sequence":"first","affiliation":[]},{"given":"Tianyu","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Chang","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Wenshuo","family":"Li","sequence":"additional","affiliation":[]},{"given":"Chunjing","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Chao","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Yunhe","family":"Wang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","article-title":"Searching for low-bit weights in quantized neural networks","author":"yang","year":"2020","journal-title":"NeurIPS"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00190"},{"key":"ref33","article-title":"Scop: Scientific control for reliable neural network pruning","author":"tang","year":"2020","journal-title":"NeurIPS"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00188"},{"key":"ref31","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"ICLRE"},{"key":"ref30","article-title":"Deep model compression: Distilling knowledge from noisy teachers","author":"sau","year":"2016"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00710"},{"key":"ref36","article-title":"Positive-unlabeled compression on the cloud","author":"xu","year":"2019","journal-title":"NeurIPS"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01070"},{"key":"ref34","article-title":"Self-training with noisy student improves imagenet classification","author":"xie","year":"2019"},{"key":"ref10","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"NeurIPS"},{"key":"ref40","article-title":"Dreaming to distill: Data-free knowledge transfer via deepin-version","author":"yin","year":"2020","journal-title":"CVPR"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01142"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00165"},{"key":"ref13","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"han","year":"2015"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref15","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"2015"},{"key":"ref16","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1145\/1460096.1460104","article-title":"The mir flickr retrieval evaluation","author":"huiskes","year":"2008","journal-title":"Proceedings of the 1st ACM International Conference on Multimedia Information Retrieval"},{"key":"ref18","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"NeurIPS"},{"key":"ref19","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","author":"lee","year":"2013","journal-title":"ICML Workshop"},{"key":"ref28","article-title":"Bounds for kullback-leibler divergence","volume":"2016","author":"popescu","year":"2016","journal-title":"Journal of Differential Equations"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00363"},{"key":"ref27","article-title":"Zero-shot knowledge distillation in deep networks","author":"nayak","year":"2019"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6624"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/311"},{"key":"ref29","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"NeurIPS"},{"key":"ref5","article-title":"Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1","author":"courbariaux","year":"2016"},{"key":"ref8","article-title":"Training deep neural-networks using a noise adaptation layer","author":"goldberger","year":"2016"},{"key":"ref7","article-title":"Data-free adversarial distillation","author":"fang","year":"2019"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00361"},{"key":"ref9","article-title":"Compressing deep convolutional networks using vector quan-tization","author":"gong","year":"2014"},{"key":"ref1","article-title":"Dream distillation: A data-independent model compression framework","author":"bhardwaj","year":"2019"},{"key":"ref20","article-title":"Pruning filters for efficient convnets","author":"li","year":"2016"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00290"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/94"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00887"},{"key":"ref24","article-title":"Data-free knowledge distillation for deep neural networks","author":"lopes","year":"2017"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00405"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00141"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.541"}],"event":{"name":"2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","location":"Nashville, TN, USA","start":{"date-parts":[[2021,6,20]]},"end":{"date-parts":[[2021,6,25]]}},"container-title":["2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9577055\/9577056\/09578598.pdf?arnumber=9578598","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:47:52Z","timestamp":1652197672000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9578598\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/cvpr46437.2021.00636","relation":{},"subject":[],"published":{"date-parts":[[2021,6]]}}}