[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".
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Updated
Jan 9, 2022 - Python
[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".
PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"
(L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise
(Pattern Recognition Letters 2023) PyTorch implementation of "Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer"
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