VisionLearningGroup / visda21-devLinks
☆46Updated 3 years ago
Alternatives and similar repositories for visda21-dev
Users that are interested in visda21-dev are comparing it to the libraries listed below
Sorting:
- [ICCV2019] Attract or Distract: Exploit the Margin of Open Set☆35Updated 4 years ago
- ☆28Updated 3 years ago
- [ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization☆48Updated 3 years ago
- Codes for UODTN; Open domain recognition; CVPR19☆45Updated 4 years ago
- [ECCV 2020] Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation☆30Updated 4 years ago
- self-supervised domain adaptation☆49Updated 5 years ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆151Updated 2 years ago
- [CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition☆61Updated 2 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- Official code for "Towards Recognizing Unseen Categories in Unseen Domains"☆64Updated 2 years ago
- Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral☆90Updated 3 years ago
- Code release for "Dynamic Domain Adaptation for Efficient Inference" (CVPR 2021)☆33Updated 3 years ago
- Official pytorch implement for “Transformer-Based Source-Free Domain Adaptation”☆68Updated 2 years ago
- PyTorch code for SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised DA (ICCV 2021)☆57Updated 3 years ago
- PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]☆77Updated 3 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- Repository for OVANet☆85Updated 3 years ago
- Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22☆36Updated 2 years ago
- Evaluation of semi-supervised learning on challenging datasets☆36Updated 3 years ago
- ( NeurIPS 2020 ) Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation☆71Updated 3 years ago
- This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113☆57Updated last year
- PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"☆50Updated 4 years ago
- ☆32Updated 2 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Updated 3 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆148Updated 3 years ago
- Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019☆51Updated 5 years ago
- Rotation-based Open Set☆41Updated 2 years ago
- This is the pytorch re-implementation of the IterNorm☆41Updated 6 years ago
- Benchmarks for semi-supervised domain generalization.☆68Updated 2 years ago
- ☆85Updated 3 years ago