{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:19:54Z","timestamp":1759331994639,"version":"3.28.0"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"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":[[2021,1,10]]},"DOI":"10.1109\/icpr48806.2021.9412550","type":"proceedings-article","created":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T02:15:54Z","timestamp":1620267354000},"page":"1882-1889","source":"Crossref","is-referenced-by-count":4,"title":["P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions"],"prefix":"10.1109","author":[{"given":"Wei","family":"Hu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"QiHao","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yangyu","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"5596","article-title":"Toward robustness against label noise in training deep discriminative neural networks","author":"vahdat","year":"2017","journal-title":"Advances in neural information processing systems"},{"journal-title":"Meta-weight-net Learning an explicit mapping for sample weighting","year":"2019","author":"shu","key":"ref38"},{"key":"ref33","article-title":"Focal loss for dense object detection","author":"lin","year":"2018","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref32","volume":"1","author":"friedman","year":"2001","journal-title":"The Elements of Statistical Learning"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019103"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00524"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00571"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00519"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"ref34","first-page":"1189","article-title":"Self-paced learning for latent variable models","author":"kumar","year":"2010","journal-title":"Advances in neural information processing systems"},{"key":"ref10","first-page":"1919","article-title":"Robust loss functions under label noise for deep neural networks","author":"ghosh","year":"2017","journal-title":"AAAI"},{"key":"ref40","article-title":"A closer look at memorization in deep networks","author":"arpit","year":"2017","journal-title":"ICML"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.211"},{"key":"ref12","article-title":"Dimensionality-driven learning with noisy labels","author":"ma","year":"2018","journal-title":"ICML"},{"key":"ref13","first-page":"2309","article-title":"Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels","author":"jiang","year":"2018","journal-title":"International Conference on Machine Learning"},{"key":"ref14","first-page":"960","article-title":"Decoupling &#x201C;when to update&#x201D; from &#x201C;how to update","author":"malach","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref15","article-title":"Co-teaching: Robust training of deep neural networks with extremely noisy labels","author":"han","year":"2018","journal-title":"NIPS"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00906"},{"key":"ref17","article-title":"How does disagreement help generalization against label corruption?","author":"yu","year":"2019","journal-title":"ICML"},{"key":"ref18","article-title":"Understanding and utilizing deep neural networks trained with noisy labels","author":"chen","year":"2019","journal-title":"ICML"},{"key":"ref19","first-page":"3326","article-title":"02u-net: A simple noisy label detection approach for deep neural networks","author":"huang","year":"2019","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref28","article-title":"Learning with confident examples: Rank pruning for robust classification with noisy labels","author":"northcutt","year":"2017","journal-title":"Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence ser UAl'17"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298894"},{"key":"ref27","article-title":"Using trusted data to train deep networks on labels corrupted by severe noise","author":"hendrycks","year":"2018","journal-title":"NIPS"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_19"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2456899"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00582"},{"key":"ref5","first-page":"125","article-title":"Learning from corrupted binary labels via class-probability estimation","author":"menon","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref8","article-title":"Masking: A new perspective of noisy supervision","author":"han","year":"2018","journal-title":"NIPS"},{"key":"ref7","first-page":"1196","article-title":"Learning with noisy labels","author":"natarajan","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.412"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.240"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2010.2048990"},{"key":"ref20","article-title":"Learning to reweight examples for robust deep learning","author":"ren","year":"2018","journal-title":"International Conference on Machine Learning"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2292894"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298885"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref24","article-title":"Training convolutional networks with noisy labels","author":"sukhbaatar","year":"2015","journal-title":"ICLRE"},{"key":"ref41","first-page":"3630","article-title":"Matching networks for one shot learning","author":"vinyals","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref23","first-page":"2691","article-title":"Learning from massive noisy labeled data for image classification","author":"xiao","year":"2015","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.696"},{"key":"ref25","article-title":"Training deep neural-networks using a noise adaptation layer","author":"goldberger","year":"2017","journal-title":"ICLRE"}],"event":{"name":"2020 25th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2021,1,10]]},"location":"Milan, Italy","end":{"date-parts":[[2021,1,15]]}},"container-title":["2020 25th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9411940\/9411911\/09412550.pdf?arnumber=9412550","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:40:48Z","timestamp":1652197248000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9412550\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,10]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/icpr48806.2021.9412550","relation":{},"subject":[],"published":{"date-parts":[[2021,1,10]]}}}