{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T17:24:32Z","timestamp":1770225872683,"version":"3.49.0"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"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":[[2021,12,15]]},"DOI":"10.1109\/fg52635.2021.9666964","type":"proceedings-article","created":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T05:34:23Z","timestamp":1643175263000},"page":"01-08","source":"Crossref","is-referenced-by-count":5,"title":["Gaussian Mixture Distribution Makes Data Uncertainty Learning Better"],"prefix":"10.1109","author":[{"given":"Hao","family":"Ai","sequence":"first","affiliation":[]},{"given":"Qingmin","family":"Liao","sequence":"additional","affiliation":[]},{"given":"Yiyun","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Jiang","family":"Qian","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1186\/s13640-019-0406-y"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00064"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.08.125"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"ref11","article-title":"Deep unsupervised clustering with gaussian mixture variational autoencoders","volume":"abs 1611 2648","author":"dilokthanakul","year":"2016","journal-title":"ArXiv"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1115\/1.1951776"},{"key":"ref13","article-title":"Dropout as a bayesian approximation: Representing model uncertainty in deep learning","volume":"abs 1506 2142","author":"gal","year":"2016","journal-title":"ArXiv"},{"key":"ref14","article-title":"Ms-celeb-1m: A dataset and benchmark for large-scale face recognition","author":"guo","year":"2016","journal-title":"ECCV"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00300"},{"key":"ref16","author":"huang","year":"2008","journal-title":"Labeled Faces in the Wild A Database Forstudying Face Recognition in Unconstrained Environments"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.527"},{"key":"ref18","article-title":"Bayesian segnet: Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding","volume":"abs 1511 2680","author":"kendall","year":"2017","journal-title":"ArXiv"},{"key":"ref19","article-title":"What uncertainties do we need in bayesian deep learning for computer vision?","author":"kendall","year":"2017","journal-title":"NIPS"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2822810"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1111\/risa.12071"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00700"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/I2MTC.2013.6555584"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00575"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6906"},{"key":"ref5","article-title":"Weight uncertainty in neural network","author":"blundell","year":"2015","journal-title":"ICML"},{"key":"ref8","first-page":"502","article-title":"Gaussian yolov 3: An accurate and fast object detector using localization uncertainty for autonomous driving","author":"choi","year":"0","journal-title":"2019 IEEE\/CVF International Conference on Computer Vision (ICCV)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00796"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.09.023"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00721"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.151"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.strusafe.2008.06.020"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.713"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2013.2250905"},{"key":"ref24","article-title":"Variational inference to measure model uncertainty in deep neural networks","volume":"abs 1902 10189","author":"posch","year":"2019","journal-title":"ArXiv"},{"key":"ref23","article-title":"Large-margin softmax loss for convolutional neural networks","volume":"abs 1612 2295","author":"liu","year":"2016","journal-title":"ArXiv"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-47977-5_56"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.03.042"}],"event":{"name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","location":"Jodhpur, India","start":{"date-parts":[[2021,12,15]]},"end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9666787\/9666788\/09666964.pdf?arnumber=9666964","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:55:28Z","timestamp":1652201728000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9666964\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/fg52635.2021.9666964","relation":{},"subject":[],"published":{"date-parts":[[2021,12,15]]}}}