alinlab / cs-kdLinks
Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)
☆108Updated 5 years ago
Alternatives and similar repositories for cs-kd
Users that are interested in cs-kd are comparing it to the libraries listed below
Sorting:
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆148Updated 3 years ago
- Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification☆82Updated 4 years ago
- ☆126Updated 4 years ago
- ☆61Updated 5 years ago
- When Does Label Smoothing Help?_pytorch_implementationimp☆124Updated 5 years ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆151Updated 2 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated last month
- [ECCV2020] Knowledge Distillation Meets Self-Supervision☆237Updated 2 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆98Updated last year
- Official implementation for (Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching, AAAI-2021)☆117Updated 4 years ago
- [AAAI-2020] Official implementation for "Online Knowledge Distillation with Diverse Peers".☆74Updated last year
- A pytorch implementation of paper 'Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation', …☆178Updated 3 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆105Updated 4 years ago
- Reducing Domain Gap by Reducing Style Bias (SagNets)☆102Updated 3 years ago
- Knowledge Transfer via Dense Cross-layer Mutual-distillation (ECCV'2020)☆29Updated 4 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆128Updated 5 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
- Reproducing VID in CVPR2019 (on working)☆20Updated 5 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 4 years ago
- [NeurIPS 2020] Balanced Meta-Softmax for Long-Tailed Visual Recognition☆140Updated 3 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- ☆129Updated 2 years ago
- [CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning☆104Updated 3 years ago
- SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization☆48Updated 2 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆78Updated last year
- [CVPR 2021] Code release for "Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination."☆101Updated 3 years ago
- official implemntation for "Contrastive Learning with Stronger Augmentations"☆58Updated 3 years ago
- Official implementation for (Refine Myself by Teaching Myself : Feature Refinement via Self-Knowledge Distillation, CVPR-2021)☆100Updated last year
- Pytorch Implementation of Domain Generalization Using a Mixture of Multiple Latent Domains☆102Updated 3 years ago