hjimce / O2U-NetLinks
paper "O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks" code
☆78Updated 3 years ago
Alternatives and similar repositories for O2U-Net
Users that are interested in O2U-Net are comparing it to the libraries listed below
Sorting:
- Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"☆173Updated 4 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆127Updated last year
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆189Updated 4 years ago
- [CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning☆106Updated 4 years ago
- Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification☆82Updated 4 years ago
- Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)☆118Updated 3 years ago
- The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021☆81Updated 3 years ago
- Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 3 years ago
- Official Pytorch implementation of MixMo framework☆84Updated 4 years ago
- Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020☆132Updated 3 years ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆140Updated 6 years ago
- Unofficial PyTorch Implementation of Unsupervised Data Augmentation.☆148Updated 4 years ago
- [NeurIPS 2020] Balanced Meta-Softmax for Long-Tailed Visual Recognition☆142Updated 3 years ago
- Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)☆58Updated 4 years ago
- A collection of awesome things about mixed sample data augmentation☆133Updated 5 years ago
- Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)☆45Updated 5 years ago
- PyTorch Implementation for SoftTriple Loss☆210Updated last year
- PyTorch implementations of "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning" (NeurIPS2020…☆31Updated 4 years ago
- When Does Label Smoothing Help?_pytorch_implementationimp☆126Updated 5 years ago
- Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)☆132Updated 5 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆140Updated last year
- (CVPR-Oral 2021) PyTorch implementation of Knowledge Evolution approach and Split-Nets☆83Updated 4 years ago
- NLNL: Negative Learning for Noisy Labels☆104Updated 5 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆224Updated 5 years ago
- ☆94Updated 4 years ago
- [CVPRW 2020] Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification☆41Updated 3 years ago
- Examples of playing with Circle Loss from the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization", CVPR 2020.☆55Updated 5 years ago
- Reimplementation of Mutual-Channel Loss for Fine-Grained Image Classification.☆37Updated 5 years ago
- Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)☆95Updated 3 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆130Updated 5 years ago