hjimce / O2U-Net
paper "O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks" code
☆78Updated 2 years ago
Alternatives and similar repositories for O2U-Net:
Users that are interested in O2U-Net are comparing it to the libraries listed below
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020☆126Updated 3 years ago
- ☆14Updated 5 years ago
- Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"☆170Updated 3 years ago
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆186Updated 4 years ago
- Pytorch implementation for Deep Self-Learning From Noisy Labels☆34Updated 4 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆126Updated 5 years ago
- Ranking-based-Instance-Selection☆32Updated 3 years ago
- Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification☆81Updated 3 years ago
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆38Updated 6 years ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆139Updated 5 years ago
- Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)☆45Updated 4 years ago
- implement of paper 'Probabilistic End-to-end Noise Correction for Learning with Noisy Labels'☆16Updated 5 years ago
- [CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning☆103Updated 3 years ago
- Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning☆99Updated 7 months ago
- PyTorch Implementation for SoftTriple Loss☆204Updated 8 months ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆43Updated 2 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆138Updated 4 years ago
- Reimplementation of Mutual-Channel Loss for Fine-Grained Image Classification.☆37Updated 4 years ago
- KSSNet: Multi-Label Classification with Label Graph Superimposing☆60Updated 5 years ago
- ☆25Updated 11 months ago
- Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"☆39Updated 2 years ago
- When Does Label Smoothing Help?_pytorch_implementationimp☆125Updated 5 years ago
- [CVPRW 2020] Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification☆41Updated 3 years ago
- Few-Shot Learning with Global Class Representations☆74Updated 2 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆222Updated 4 years ago
- A collection of awesome things about mixed sample data augmentation☆131Updated 4 years ago
- [NeurIPS 2020] Balanced Meta-Softmax for Long-Tailed Visual Recognition☆138Updated 3 years ago
- Code for "Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification", ECCV 2020 Spotlight☆38Updated 4 years ago
- ICML'19 How does Disagreement Help Generalization against Label Corruption?☆84Updated 5 years ago