Fine-grained classification with noisy labels
Learning with noisy labels (LNL) aims to ensure model generalization given a label-
corrupted training set. In this work, we investigate a rarely studied scenario of LNL on fine …
corrupted training set. In this work, we investigate a rarely studied scenario of LNL on fine …
Fine-Grained Classification with Noisy Labels
Q Wei, L Feng, H Sun, R Wang, C Guo… - arXiv preprint arXiv …, 2023 - arxiv.org
Learning with noisy labels (LNL) aims to ensure model generalization given a label-
corrupted training set. In this work, we investigate a rarely studied scenario of LNL on fine …
corrupted training set. In this work, we investigate a rarely studied scenario of LNL on fine …
Fine-Grained Classification with Noisy Labels
Q Wei, L Feng, H Sun, R Wang… - 2023 IEEE/CVF …, 2023 - ieeexplore.ieee.org
Learning with noisy labels (LNL) aims to ensure model generalization given a label-
corrupted training set. In this work, we investigate a rarely studied scenario of LNL on fine …
corrupted training set. In this work, we investigate a rarely studied scenario of LNL on fine …
Fine-grained Classification with Noisy Labels
Q Wei, L Feng, H Sun, R Wang, C Guo, Y Yin - cvpr.thecvf.com
Fine-grained Classification with Noisy Labels Page 1 Fine-grained Classification with Noisy
Labels Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin Page 2 A Novel …
Labels Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin Page 2 A Novel …
Fine-Grained Classification with Noisy Labels
Q Wei, L Feng, H Sun, R Wang, C Guo… - 2023 IEEE/CVF …, 2023 - computer.org
Learning with noisy labels (LNL) aims to ensure model generalization given a label-
corrupted training set. In this work, we investigate a rarely studied scenario of LNL on fine …
corrupted training set. In this work, we investigate a rarely studied scenario of LNL on fine …
Fine-Grained Classification with Noisy Labels
Q Wei, L Feng, H Sun, R Wang, C Guo, Y Yin - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Learning with noisy labels (LNL) aims to ensure model generalization given a label-
corrupted training set. In this work, we investigate a rarely studied scenario of LNL on fine …
corrupted training set. In this work, we investigate a rarely studied scenario of LNL on fine …