A new research direction of label noise learning. Noisy correspondence learning aims to eliminate the negative impact of the mismatched pairs (e.g., false positives/negatives) instead of annotation errors in several tasks.
We mark works contributed by ourselves with ⭐.
This repository now is maintained by Mouxing Yang, Yijie Lin, and Yang Qin. We hope more AI-workers join us and thank all contributors!
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[2024 IJCV]
⭐Learning with Noisy Correspondence
Zhenyu Huang, Peng Hu, Guocheng Niu, Xinyan Xiao, Jiancheng Lv, Xi Peng
[paper] -
[2024 TOIS]
Breaking Through the Noisy Correspondence: A Robust Model for Image-Text Matching
Haitao Shi, Meng Liu, Xiaoxuan Mu, Xuemeng Song, Yupeng Hu, Liqiang Nie
[paper] -
[2024 ICASSP]
NAC: Mitigating Noisy Correspondence in Cross-Modal Matching Via Neighbor Auxiliary Corrector
Yuqing Li, Haoming Huang, Jian Xu, Shao-Lun Huang
[paper] -
[2024 CVPR]
Robust Noisy Correspondence Learning with Equivariant Similarity Consistency
Yuchen Yang, Likai Wang, Erkun Yang, Cheng Deng
[paper] -
[2024 CVPR]
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning
Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao, Bo han, Ya Zhang, Yanfeng Wang
[paper] [code] -
[2024 CVPR]
Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval
Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang
[paper] [code] -
[2024 CVPR]
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning
Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang
[paper] -
[2024 CVPR]
Robust Noisy Correspondence Learning with Equivariant Similarity Consistency
Yuchen Yang, Erkun Yang, Likai Wang, Cheng Deng
[paper] -
[2024 Arxiv]
REPAIR: Rank Correlation and Noisy Pair Half-replacing with Memory for Noisy Correspondence
Ruochen Zheng, Jiahao Hong, Changxin Gao, Nong Sang
[paper] -
[2024 TIP]
⭐Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining
Xinran Ma, Mouxing Yang, Yunfan Li, Peng Hu, Jiancheng Lv, Xi Peng
[paper] [code] -
[2024 AAAI]
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation
Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang
[paper] -
[2024 AAAI]
Negative Pre-aware for Noisy Cross-modal Matching
Xu Zhang, Hao Li, Mang Ye
[paper] [code]
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[2023 NeurIPS]
⭐Cross-modal Active Complementary Learning with Self-refining Correspondence
Yang Qin and Yuan Sun and Dezhong Peng and Joey Tianyi Zhou and Xi Peng and Peng Hu
[paper] [code] -
[2023 TPAMI]
⭐Cross-Modal Retrieval with Partially Mismatched Pairs
Peng Hu, Zhenyu Huang, Dezhong Peng, Xu Wang, Xi Peng
[paper] [code] -
[2023 TMM]
Integrating Language Guidance Into Image-Text Matching for Correcting False Negatives
Zheng Li, Caili Guo, IEEE, Zerun Feng, Jenq-Neng Hwang, Zhongtian Du
[paper] -
[2023 TMM]
Learning From Noisy Correspondence With Tri-Partition for Cross-Modal Matching
Feng, Zerun and Zeng, Zhimin and Guo, Caili and Li, Zheng and Hu, Lin
[paper] -
[2023 CVPR]
BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency
Shuo Yang, Zhapan XU, Kai Wang, Yang You, Hongxun Yao, Tongliang Liu, Min Xu
[paper] [code] -
[2023 CVPR]
MSCN: Noisy Correspondence Learning with Meta Similarity Correction
Han, Haochen and Miao, Kaiyao and Zheng, Qinghua and Luo, Minnan
[paper] [code]
[2022 ACMMM]
⭐Deep Evidential Learning with Noisy Correspondence for Cross-Modal Retrieval
Qin, Yang and Peng, Dezhong and Peng, Xi and Wang, Xu and Hu, Peng
[paper] [code]
[2021 NeurIPS Oral]
⭐Learning with Noisy Correspondence for Cross-modal Matching
Huang, Zhenyu and Niu, Guocheng and Liu, Xiao and Ding, Wenbiao and Xiao, Xinyan and Wu, Hua and Peng, Xi
[paper] [code]
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[2023 AAAI]
NLIP: Noise-Robust Language-Image Pre-training
Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang
[paper] -
[2022 CVPR]
Robust Cross-Modal Representation Learning with Progressive Self-Distillation Andonian, Alex and Chen, Shixing and Hamid, Raffay
[paper] -
[2022 ICML]
Blip: Bootstrapping Language-image Pre-training for Unified Vision-language Understanding and Generation
Li, Junnan and Li, Dongxu and Xiong, Caiming and Hoi, Steven*
[paper] [code] -
[2021 NeurIPS Spotlight]
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Junnan Li, Ramprasaath Selvaraju, Akhilesh Gotmare, Shafiq Joty, Caiming Xiong, Steven Chu Hong Hoi
[paper] [code]
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[2024 CVPR]
⭐Noisy-Correspondence Learning for Text-to-Image Person Re-identification
Qin, Yang and Chen, Yingke and Peng, Dezhong and Peng, Xi and Zhou, Joey Tianyi and Hu, Peng
[paper] [code] -
[2024 IJCV]
⭐Robust Object Re-identification with Coupled Noisy Labels
Mouxing Yang, Zhenyu Huang, Xi Peng
[paper] [code] -
[2024 EAAI]
Modality Blur and Batch Alignment Learning for Twin Noisy Labels-based Visible–infrared Person Re-identification
Song Wu, Shihao Shan, Guoqiang Xiao, Michael S. Lew, Xinbo Gao
[paper] [code] -
[2022 CVPR]
⭐Learning With Twin Noisy Labels for Visible-Infrared Person Re-Identification
Mouxing Yang, Zhenyu Huang, Peng Hu, Taihao Li, Jiancheng Lv, Xi Peng
[paper] [code]
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[2024 ICLR Oral]
⭐Multi-granularity Correspondence Learning from Long-term Noisy Videos
Yijie Lin, Jie Zhang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng
[paper] [code] -
[2024 Arxiv]
A Strong Baseline for Temporal Video-Text Alignment
Li, Zeqian and Chen, Qirui and Han, Tengda and Zhang, Ya and Wang, Yanfeng and Xie, Weidi
[paper] -
[2023 TMM]
Robust Video-Text Retrieval Via Noisy Pair Calibration
Zhang, Huaiwen and Yang, Yang and Qi, Fan and Qian, Shengsheng and Xu, Changsheng
[paper] -
[2021 ICCV]
Crossclr: Cross-modal Contrastive Learning for Multi-modal Video Representations
Zolfaghari, Mohammadreza and Zhu, Yi and Gehler, Peter and Brox, Thomas
[paper] -
[2022 CVPR Oral]
Temporal Alignment Networks for Long-term Video
Han, Tengda and Xie, Weidi and Zisserman, Andrew
[paper] [code] -
[2021 EMNLP]
Videoclip: Contrastive Pre-training for Zero-shot Video-text Understanding Xu, Hu and Ghosh, Gargi and Huang, Po-Yao and Okhonko, Dmytro and Aghajanyan, Armen and Metze, Florian and Zettlemoyer, Luke and Feichtenhofer, Christoph
[paper] [code]
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[2024 AAAI]
Noise-Aware Image Captioning with Progressively Exploring Mismatched Words Zhongtian Fu, Kefei Song, Luping Zhou, Yang Yang
[paper] [code] -
[2022 CVPR]
Noise-aware Learning from Web-crawled Image-Text Data for Image Captioning
Wooyoung Kang, Jonghwan Mun, Sungjun Lee, Byungseok Roh
[paper] [code]
[2022 CVPR]
Robust contrastive learning against noisy views
Ching-Yao Chuang, R Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song
[paper] [code]
[2024 TIP]
⭐Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining
Xinran Ma, Mouxing Yang, Yunfan Li, Peng Hu, Jiancheng Lv, Xi Peng
[paper] [code][2023 ICCV]
⭐Graph Matching with Noisy Correspondence
Lin, Yijie and Yang, Mouxing and Yu, Jun and Hu, Peng and Zhang, Changqing and Peng, Xi
[paper] [code]
[2024 TMM]
Noise-Tolerant Learning for Audio-Visual Action Recognition
Haochen Han, Qinghua Zheng, Minnan Luo, Kaiyao Miao, Feng Tian and Yan Chen
[paper]
[2023 AAAI]
⭐Robust domain adaptation for machine reading comprehension
Jiang, Liang and Huang, Zhenyu and Liu, Jia and Wen, Zujie and Peng, Xi
[paper]
[2023 EMNLP Findings]
Noisy Pair Corrector for Dense Retrieval
Hang Zhang, Yeyun Gong, Xingwei He, Dayiheng Liu, Daya Guo, Jiancheng Lv, Jian Guo
[paper]
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[2024 TKDE]
⭐Robust Multi-View Clustering with Noisy Correspondence
Yuan Sun, Yang Qin, Yongxiang Li, Dezhong Peng, Xi Peng, Peng Hu -
[2024 AAAI]
⭐Decoupled Contrastive Multi-view Clustering with High-order Random Walks
Yiding Lu, Yijie Lin, Mouxing Yang, Dezhong Peng, Peng Hu, Xi Peng
[paper] [code] -
[2022 TPAMI]
⭐Robust Multi-View Clustering With Incomplete Information
Mouxing Yang, Yunfan Li, Peng Hu, Jinfeng Bai, Jiancheng Lv, Xi Peng
[paper] [code] -
[2021 CVPR]
⭐Partially View-aligned Representation Learning with Noise-robust Contrastive Loss
Mouxing Yang, Yunfan Li, Zhenyu Huang, Zitao Liu, Peng Hu, Xi Peng
[paper] [code] -
[2020 NeurIPS Oral]
⭐Partially View-aligned Clustering
Zhenyu Huang, Peng Hu, Joey Tianyi Zhou, Jiancheng Lv, and Xi Peng
[paper] [code]