MrChenFeng / SSR_BMVC2022Links
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise (BMVC2022)
☆30Updated 3 months ago
Alternatives and similar repositories for SSR_BMVC2022
Users that are interested in SSR_BMVC2022 are comparing it to the libraries listed below
Sorting:
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆40Updated last year
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆37Updated 2 years ago
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆32Updated 3 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆93Updated 4 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- [TPAMI 2023] Generative Multi-Label Zero-Shot Learning☆52Updated 2 years ago
- ASCL: adpative Soft Contrastive Learning (ICPR2022)☆22Updated 3 months ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/211…☆50Updated 2 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 3 years ago
- Shared Attention for Multi-label Zero-shot Learning accepted @ CVPR20☆32Updated 3 years ago
- Official Implementation of LADS (Latent Augmentation using Domain descriptionS)☆51Updated 2 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆44Updated 2 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 4 years ago
- ☆15Updated 2 years ago
- ☆28Updated 2 years ago
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆53Updated 2 years ago
- NeurIPS 2022: Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning☆17Updated 2 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆148Updated 3 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- CVPR 2022, Robust Contrastive Learning against Noisy Views☆83Updated 3 years ago
- PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]☆77Updated 3 years ago
- ☆18Updated 2 years ago
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆23Updated 3 years ago
- Domain Generalization via Entropy Regularization, NeurIPS'20☆66Updated 4 years ago
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Updated last year
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆53Updated 3 years ago
- ☆44Updated 3 years ago
- PyTroch Implementation of the following paper, "ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation, ICCV'21""☆15Updated 2 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆85Updated last year