noisy-label-learning topic
seal
Code for Simultaneous Edge Alignment and Learning (SEAL)
Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
Robust-f-divergence-measures
[ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"
noisy_label_pretrain
S2E
Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020
negative-label-smoothing
[ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"
Erasing-Attention-Consistency
Official implementation of the ECCV2022 paper: Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition
Relative-Uncertainty-Learning
Official implementation of our NeurIPS2021 paper: Relative Uncertainty Learning for Facial Expression Recognition
Co-learning
The official implementation of the ACM MM'2021 paper Co-learning: Learning from noisy labels with self-supervision.
JigsawViT
(Pattern Recognition Letters 2023) PyTorch implementation of "Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer"