- 噪声标签
2021 | 2022 | 2023 | 2024 | 2025 - 噪声标签下的具体任务
FGVC | low quality | domain adaption
| Paper | Avenue | Link | Code |
|---|---|---|---|
| Directional Label Diffusion Model for Learning from Noisy Labels Senyu Hou · Gaoxia Jiang · Jia Zhang · Shangrong Yang · Husheng Guo · Yaqing Guo · Wenjian Wang |
CVPR 2025 | Paper (CVF PDF) | Code |
| Noise-Label Prompt Learning for Vision-Language Models Bin Pan · Jincheng Yang · Shuhui Wang · Qingming Huang |
CVPR 2025 | Paper (CVF PDF) | Code |
| CA2C: A Prior-Knowledge-Free Approach for Robust Label Noise Learning via Cross-Adaptive Calibration Ming Sheng · Jiaqi Wang · Qing Yan · Xiaojuan Qi |
ICCV 2025 | Paper (ICCV PDF) | Code |
| Joint Asymmetric Loss for Learning with Noisy Labels Jiahao Wang · Tianlong Chen · Zhangyang Wang |
ICCV 2025 (accepted) | Paper (ICCV PDF) | Code |
| Optimized Gradient Clipping for Noisy Label Learning Xichen Ye · Yifan Wu · Weizhong Zhang · Xiaoqiang Li · Yifan Chen · Cheng Jin |
AAAI 2025 | Paper (AAAI) | Code |
| Instance-dependent Label Distribution Estimation for Learning with Label Noise Zehui Liao · Shishuai Hu · Yutong Xie · Yong Xia |
IJCV 2025 | Paper (Springer) | Code |
| Paper | Avenue | Link | Code |
|---|---|---|---|
| Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning Rui Zhao · Bin Shi · Jianfei Ruan · Tianze Pan · Bo Dong |
CVPR 2024 | Paper | Code |
| SURE: SUrvey REcipes for building reliable and robust deep networks Yuting Li · Yingyi Chen · Xuanlong Yu · Dexiong Chen · Xi Shen |
CVPR 2024 | Paper | Code |
| Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection Suyeon Kim · Dongha Lee · SeongKu Kang · Sukang Chae · Sanghwan Jang · Hwanjo Yu |
CVPR 2024 | Paper | Code |
| Learning with Structural Labels for Learning with Noisy Labels Noo-ri Kim · Jin-Seop Lee · Jee-Hyong Lee |
CVPR 2024 | Paper | – |
| Improving Noisy Fine-Grained Datasets using Active Label Cleaning Framework Avik Pal |
CVPR Workshops 2024 | Paper | Code |
| Paper | Avenue | Link | Code |
|---|---|---|---|
| DISC: Learning From Noisy Labels via Dynamic Instance-specific Selection and Correction Y. Li et al. |
CVPR 2023 | Paper | Code |
| Learning From Noisy Labels With Decoupled Meta Label Purifier Y. Tu et al. |
CVPR 2023 | Paper | Code |
| RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels Z. Zhang et al. |
ICCV 2023 | Paper | Code |
| When Noisy Labels Meet Long-Tail Dilemmas: A Representation Calibration M. Zhang et al. |
ICCV 2023 | Paper | – |
| Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples X. Xia et al. |
ICCV 2023 | Paper | – |
| Fine-Grained Classification With Noisy Labels Q. Wei et al. |
CVPR 2023 | Paper | [Code](Fine-Grained Classification with Noisy Labels) |
| Paper | Avenue | Link | Code |
|---|---|---|---|
| PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction Z. Sun et al. |
CVPR 2022 | Paper | Code |
| Selective-Supervised Contrastive Learning With Noisy Labels (Sel-CL) S. Li et al. |
CVPR 2022 | Paper | Code |
| Learning with Noisy Labels by Efficient Transition Matrix Estimation S.M. Kye et al. |
ECCV 2022 | Paper | Code |
| Paper | Avenue | Link | Code |
|---|---|---|---|
| Augmentation Strategies for Learning With Noisy Labels K. Nishi et al. |
CVPR 2021 | Paper | Code |
| Joint Negative and Positive Learning for Noisy Labels (JNPL) Y. Kim et al. |
CVPR 2021 | Paper | – |
| DualGraph: A Graph-Based Method for Reasoning About Label Noise H.Y. Zhang et al. |
CVPR 2021 | Paper | – |
| Learning From Noisy Data With Robust Representation Learning J. Li et al. |
ICCV 2021 | Paper | Code |
| Paper | Avenue | Link | Code |
|---|---|---|---|
| Vision-Language Models are Strong Noisy Label Detectors T. Wei et al. |
NeurIPS 2024 | Paper (NeurIPS PDF) | Code |
| Improving Noisy Fine-Grained Datasets using Active Label Cleaning Framework Avik Pal |
CVPR Workshops 2024 (VDU) | Paper (CVPRW PDF) | Code |
| Fine-Grained Classification With Noisy Labels Qi Wei · Lei Feng · Haoliang Sun · Ren Wang · Chenhui Guo · Yilong Yin |
CVPR 2023 | Paper (CVF PDF) | Code (SNSCL) |
| Robust learning from noisy web data for fine-Grained visual categorization Z. Cai et al. |
Computers & Graphics (journal) 2023 | Paper (ScienceDirect) | Code |
| Robust Fine-Grained Image Classification with Noisy Labels X. Tan |
The Visual Computer / Springer (2023) | Paper (journal page / DOI) | – |
| Paper | Avenue | Link | Code |
|---|---|---|---|
| Noisy Label Processing for Classification: A Survey Various |
arXiv 2024 (survey) | Survey (arXiv) | – |
| Learning Quality Labels for Robust Image Classification X. Wang et al. |
WACV 2024 | Paper (WACV PDF) | – |
| Confidence-based Reliable Learning under Dual Noises P. Cui et al. |
arXiv / conference submissions (2022–2023) | Paper (PDF) | – |
| Label Noise Transition Matrix Estimation for Tasks with Lower-quality Features Z. Zhu et al. |
AISTATS / PMLR 2022 | Paper (MLR PDF) | – |
| Paper | Avenue | Link | Code |
|---|---|---|---|
| Overcoming Label Noise for Source-free Unsupervised Domain Adaptation A. Dasgupta et al. |
arXiv / 2023 | Paper (arXiv) | Code |
| Robust Unsupervised Domain Adaptation with Noisy Labels (RDPL) Y. Feng et al. |
CV / ECCV / arXiv 2023 | Paper (PDF / RDPL) | Code |
| When Source-Free Domain Adaptation Meets Learning with Noisy Labels Li Yi et al. |
arXiv / OpenReview 2023 | Paper (arXiv) | – |
| Label-Noise Robust Domain Adaptation X. Yu et al. |
NeurIPS / MLR / journal (2020) | Paper (MLR PDF) | – |
| Cleaning Noisy Labels by Negative Ensemble Learning for Source-Free Unsupervised W. Ahmed et al. |
WACV 2022 | Paper (WACV PDF) | – |