{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T16:06:35Z","timestamp":1780589195786,"version":"3.54.1"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"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":[[2025,4,6]]},"DOI":"10.1109\/icassp49660.2025.10889037","type":"proceedings-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T17:15:19Z","timestamp":1741799719000},"page":"1-5","source":"Crossref","is-referenced-by-count":5,"title":["PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learning"],"prefix":"10.1109","author":[{"given":"Bowen","family":"Tian","sequence":"first","affiliation":[{"name":"HKUST(GZ) The Hong Kong University of Science and Technology (Guangzhou),DI2Lab Deep Interdisciplinary Intelligence Lab,Guangzhou,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Songning","family":"Lai","sequence":"additional","affiliation":[{"name":"HKUST(GZ),DI2Lab,Guangzhou,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lujundong","family":"Li","sequence":"additional","affiliation":[{"name":"HKUST(GZ),Guangzhou,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhihao","family":"Shuai","sequence":"additional","affiliation":[{"name":"HKUST(GZ),Guangzhou,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Runwei","family":"Guan","sequence":"additional","affiliation":[{"name":"University of Liverpool,HKUST(GZ), Institute of Deep Perception Technology, JITRI,Guangzhou,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tian","family":"Wu","sequence":"additional","affiliation":[{"name":"Nanchang University,Nanchang,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yutao","family":"Yue","sequence":"additional","affiliation":[{"name":"HKUST(GZ) Institute of Deep Perception Technology, JITRI,DI2Lab,Guangzhou,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2018.12.049"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.5244\/C.35.121"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7016"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-024-19823-3"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2024.101504"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.displa.2023.102563"},{"key":"ref7","article-title":"Learning new concepts, remembering the old: A novel continual learning","author":"Lai","year":"2024"},{"key":"ref8","article-title":"Wolf2pack: The autofusion framework for dynamic parameter fusion","author":"Tian","year":"2024"},{"key":"ref9","article-title":"Maintaining informative coherence: Migrating hallucinations in large language models via absorbing markov chains","author":"Wu","year":"2024"},{"key":"ref10","article-title":"Fine-grained zero-shot learning: Advances, challenges, and prospects","author":"Guo","year":"2024"},{"key":"ref11","article-title":"Semi-supervised learning by entropy minimization","volume-title":"NeurIPS","volume":"17","author":"Grandvalet"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01402"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121354"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3507050"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP51287.2024.10647298"},{"key":"ref16","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","author":"Lee"},{"key":"ref17","article-title":"Temporal ensembling for semi-supervised learning","author":"Laine","year":"2016"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00359"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2019.00020"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01277"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3089943"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9206626"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2024.104101"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00104"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3220219"},{"key":"ref26","article-title":"An overview of deep semi-supervised learning","author":"Ouali","year":"2020"},{"key":"ref27","article-title":"Freematch: Self-adaptive thresholding for semi-supervised learning","author":"Wang","year":"2022"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref29","volume-title":"Tech. Rep. CNS-TR-2011-001","author":"Wah","year":"2011"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2013.77"},{"key":"ref31","article-title":"Pseudo-label : The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"ICML 2013 Workshop : Challenges in Representation Learning (WREPL)","author":"Lee"},{"key":"ref32","first-page":"18408","article-title":"Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling","volume-title":"NeurIPS","volume":"34","author":"Zhang"}],"event":{"name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Hyderabad, India","start":{"date-parts":[[2025,4,6]]},"end":{"date-parts":[[2025,4,11]]}},"container-title":["ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10887540\/10887541\/10889037.pdf?arnumber=10889037","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T05:22:00Z","timestamp":1774416120000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10889037\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,6]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/icassp49660.2025.10889037","relation":{},"subject":[],"published":{"date-parts":[[2025,4,6]]}}}