MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer Q Zhao, Y Huang, W Hu, F Zhang, J Liu The Eleventh International Conference on Learning Representations (ICLR), 2023, 2023 | 8 | 2023 |
P-Diff: Learning classifier with noisy labels based on probability difference distributions W Hu, QH Zhao, Y Huang, F Zhang 2020 25th International Conference on Pattern Recognition (ICPR), 1882-1889, 2021 | 7 | 2021 |
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition Q Zhao, C Jiang, W Hu, F Zhang, J Liu International Conference on Computer Vision (ICCV), 2023, 2023 | 6 | 2023 |
P-diff+: Improving learning classifier with noisy labels by noisy negative learning loss QH Zhao, W Hu, Y Huang, F Zhang Neural Networks 144, 1-10, 2021 | 6 | 2021 |
OHD: An Online Category-aware Framework for Learning with Noisy Labels under Long-Tailed Distribution Q Zhao, F Zhang, W Hu, S Feng, J Liu IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 4 | 2023 |
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content Q Zhao, Y Dai, H Li, W Hu, F Zhang, J Liu IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2024, Oral), 2024 | 3 | 2024 |
LTRL: Boosting Long-tail Recognition via Reflective Learning Q Zhao, Y Dai, S Lin, W Hu, F Zhang, J Liu European Conference on Computer Vision (ECCV, 2024), 2024 | | 2024 |