Jo-SRC: A Contrastive Approach for Combating Noisy Labels

24 March 2021

Qi Wu

Papers citing "Jo-SRC: A Contrastive Approach for Combating Noisy Labels"

50 / 68 papers shown

Title
Robust Duality Learning for Unsupervised Visible-Infrared Person Re-Identification Yongxiang Li Yuan Sun Yang Qin Dezhong Peng Xi Peng Peng Hu 35 0 0 05 May 2025
Efficient Token Compression for Vision Transformer with Spatial Information Preserved Junzhu Mao Yang Shen Jinyang Guo Yazhou Yao Xiansheng Hua ViT 33 0 0 30 Mar 2025
Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection Gensheng Pei Tao Chen Yujia Wang Xinhao Cai Xiangbo Shu Tianfei Zhou Yazhou Yao VLM 53 1 0 21 Mar 2025
Learning from Noisy Labels with Contrastive Co-Transformer Yan Han S. Roy Mehrtash Harandi L. Petersson NoLa 64 0 0 04 Mar 2025
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning Hanxuan Wang Na Lu Xueying Zhao Yuxuan Yan Kaipeng Ma Kwoh Chee Keong Gustavo Carneiro NoLa 54 0 0 22 Feb 2025
Open set label noise learning with robust sample selection and margin-guided module Yuandi Zhao Qianxi Xia Yang Sun Zhijie Wen Liyan Ma Shihui Ying NoLa 44 0 0 08 Jan 2025
Combating Label Noise With A General Surrogate Model For Sample Selection Chao Liang Linchao Zhu Humphrey Shi Yi Yang VLM NoLa 44 2 0 31 Dec 2024
One-step Noisy Label Mitigation Hao Li Jiayang Gu Jingkuan Song An Zhang Lianli Gao NoLa 24 0 0 02 Oct 2024
An accurate detection is not all you need to combat label noise in web-noisy datasets Paul Albert Jack Valmadre Eric Arazo Tarun Krishna Noel E. O'Connor Kevin McGuinness AAML 36 0 0 08 Jul 2024
Relating CNN-Transformer Fusion Network for Change Detection Yuhao Gao Gensheng Pei Mengmeng Sheng Zeren Sun Tao Chen Yazhou Yao ViT 26 2 0 03 Jul 2024
Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric XiRuo Jiang Yazhou Yao Xili Dai Fumin Shen Xian-Sheng Hua Heng-Tao Shen 27 0 0 03 Jul 2024
Foster Adaptivity and Balance in Learning with Noisy Labels Mengmeng Sheng Zeren Sun Tao Chen Shuchao Pang Yucheng Wang Yazhou Yao 29 2 0 03 Jul 2024
Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification Zehui Liao Shishuai Hu Yong-quan Xia 33 0 0 18 Jun 2024
A Light-weight Transformer-based Self-supervised Matching Network for Heterogeneous Images Wang Zhang Tingting Li Yuntian Zhang Gensheng Pei XiRuo Jiang Yazhou Yao 38 0 0 30 Apr 2024
Noisy Label Processing for Classification: A Survey Mengting Li Chuang Zhu NoLa 35 1 0 05 Apr 2024
Group Benefits Instances Selection for Data Purification Zhenhuang Cai Chuanyi Zhang Dan Huang Yuanbo Chen Xiuyun Guan Yazhou Yao NoLa 43 0 0 23 Mar 2024
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning Zijun Long Lipeng Zhuang George Killick R. McCreadie Gerardo Aragon Camarasa Paul Henderson NoLa 25 1 0 10 Mar 2024
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity Ying-Hsuan Wu Jun-Wei Hsieh Li Xin Shin-You Teng Yi-Kuan Hsieh Ming-Ching Chang NoLa 39 0 0 04 Mar 2024
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection Huafeng Liu Mengmeng Sheng Zeren Sun Yazhou Yao Xian-Sheng Hua H. Shen NoLa 13 6 0 17 Feb 2024
Low-Rank Graph Contrastive Learning for Node Classification Yancheng Wang Yingzhen Yang 18 2 0 14 Feb 2024
Spatial Structure Constraints for Weakly Supervised Semantic Segmentation Tao Chen Yazhou Yao Xing-Rui Huang Zechao Li Liqiang Nie Jinhui Tang 19 15 0 20 Jan 2024
Federated Learning with Extremely Noisy Clients via Negative Distillation Yang Lu Lin Chen Yonggang Zhang Yiliang Zhang Bo Han Yiu-ming Cheung Hanzi Wang FedML 28 8 0 20 Dec 2023
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning Mengmeng Sheng Zeren Sun Zhenhuang Cai Tao Chen Yichao Zhou Yazhou Yao 26 16 0 15 Dec 2023
Regroup Median Loss for Combating Label Noise Fengpeng Li Kemou Li Jinyu Tian Jiantao Zhou NoLa 17 2 0 11 Dec 2023
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning Zijun Long George Killick Lipeng Zhuang R. McCreadie Gerardo Aragon Camarasa Paul Henderson 20 5 0 25 Nov 2023
Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances Zhendong Chu Ruiyi Zhang Tong Yu R. Jain Vlad I. Morariu Jiuxiang Gu A. Nenkova NoLa 25 2 0 25 Oct 2023
Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning Qing Miao Xiaohe Wu Chao Xu Yanli Ji Wangmeng Zuo Yiwen Guo Zhaopeng Meng NoLa 24 2 0 24 Oct 2023
United We Stand: Using Epoch-wise Agreement of Ensembles to Combat Overfit Uri Stern Daniel Shwartz D. Weinshall 31 1 0 17 Oct 2023
Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise Fahimeh Fooladgar Minh Nguyen Nhat To P. Mousavi Purang Abolmaesumi NoLa 27 4 0 13 Aug 2023
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence Xia Huang Kai Fong Ernest Chong 42 2 0 19 Jul 2023
Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data Kai Katsumata D. Vo Tatsuya Harada Hideki Nakayama 27 0 0 17 Jul 2023
Rethinking Weak Supervision in Helping Contrastive Learning Jingyi Cui Weiran Huang Yifei Wang Yisen Wang NoLa SSL 32 13 0 07 Jun 2023
ReSup: Reliable Label Noise Suppression for Facial Expression Recognition Xiang Zhang Yan Lu Huan Yan Jingyang Huang Yusheng Ji Yu Gu 23 3 0 29 May 2023
Mitigating Label Noise through Data Ambiguation Julian Lienen Eyke Hüllermeier NoLa 24 6 0 23 May 2023
Unlocking the Power of Open Set : A New Perspective for Open-Set Noisy Label Learning Wenhai Wan Xinrui Wang Ming-Kun Xie Shao-Yuan Li Sheng-Jun Huang Songcan Chen 28 8 0 07 May 2023
Co-attention Propagation Network for Zero-Shot Video Object Segmentation Gensheng Pei Yazhou Yao Fumin Shen Daniel Huang Xing-Rui Huang Hengtao Shen VOS 28 11 0 08 Apr 2023
Attention Map Guided Transformer Pruning for Edge Device Junzhu Mao Yazhou Yao Zeren Sun Xing-Rui Huang Fumin Shen Hengtao Shen ViT 14 1 0 04 Apr 2023
ScarceNet: Animal Pose Estimation with Scarce Annotations Chen Li G. Lee 17 16 0 27 Mar 2023
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection Arushi Rai Adriana Kovashka 19 0 0 16 Mar 2023
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network Huafeng Liu Pai Peng Tao Chen Qiong Wang Yazhou Yao Xiansheng Hua 25 52 0 19 Jan 2023
Improving group robustness under noisy labels using predictive uncertainty Dongpin Oh Dae Lee Jeunghyun Byun Bonggun Shin UQCV 18 3 0 14 Dec 2022
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels Daehwan Kim Kwang-seok Ryoo Hansang Cho Seung Wook Kim NoLa 24 3 0 20 Nov 2022
Denoising Multi-Similarity Formulation: A Self-paced Curriculum-Driven Approach for Robust Metric Learning Chenkang Zhang Lei Luo Bin Gu 22 4 0 19 Nov 2022
Label Noise-Robust Learning using a Confidence-Based Sieving Strategy Reihaneh Torkzadehmahani Reza Nasirigerdeh Daniel Rueckert Georgios Kaissis NoLa 31 7 0 11 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao W. Wang C. Yuan 16 3 0 11 Oct 2022
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection Paul Albert Eric Arazo Tarun Kirshna Noel E. O'Connor Kevin McGuinness NoLa 19 14 0 10 Oct 2022
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels Daniel Shwartz Uri Stern D. Weinshall NoLa 25 2 0 02 Oct 2022
Combating Noisy Labels in Long-Tailed Image Classification Chaowei Fang Lechao Cheng Huiyan Qi Dingwen Zhang NoLa 17 2 0 01 Sep 2022
Label-Noise Learning with Intrinsically Long-Tailed Data Yang Lu Yiliang Zhang Bo Han Y. Cheung Hanzi Wang NoLa 41 16 0 21 Aug 2022
Neighborhood Collective Estimation for Noisy Label Identification and Correction Jichang Li Guanbin Li Feng Liu Yizhou Yu NoLa 11 29 0 05 Aug 2022