GT-RIPL / FeatMatchLinks
PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"
☆50Updated 4 years ago
Alternatives and similar repositories for FeatMatch
Users that are interested in FeatMatch are comparing it to the libraries listed below
Sorting:
- ☆46Updated 4 years ago
- The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"☆22Updated 4 years ago
- self-supervised domain adaptation☆48Updated 5 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- Code release for "Dynamic Domain Adaptation for Efficient Inference" (CVPR 2021)☆33Updated 3 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- [ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization☆48Updated 3 years ago
- ☆48Updated 5 years ago
- Generalizable Semantic Segmentation viaModel-agnostic Learning and Target-specificNormalization☆28Updated 5 years ago
- [ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation☆56Updated 2 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Updated 3 years ago
- A PyTorch re-implementation of the paper 'Exploring Simple Siamese Representation Learning'. Reproduced the 67.8% Top1 Acc on ImageNet.☆77Updated 4 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
- Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)☆139Updated 3 years ago
- Shared Attention for Multi-label Zero-shot Learning accepted @ CVPR20☆32Updated 3 years ago
- [ICCV2019] Attract or Distract: Exploit the Margin of Open Set☆35Updated 4 years ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆151Updated 3 years ago
- [ECCV 2020] Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation☆30Updated 4 years ago
- ☆46Updated 3 years ago
- (CVPR 2020) Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition☆40Updated 4 years ago
- [CVPR 2021] Code release for "Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination."☆101Updated 3 years ago
- Autoencoding Variational Transformations (AVT) in pytorch, ICCV 2019☆18Updated 5 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Updated 3 years ago
- Code release for NeurIPS 2020 paper "Stochastic Normalization"☆22Updated 3 years ago
- Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019☆60Updated 4 years ago
- ☆85Updated 3 years ago
- Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral☆90Updated 3 years ago
- ( NeurIPS 2020 ) Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation☆70Updated 4 years ago
- Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)☆118Updated 3 years ago
- Implementation of the paper All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training☆45Updated 3 years ago