google-research / adamatchLinks
☆66Updated 2 years ago
Alternatives and similar repositories for adamatch
Users that are interested in adamatch are comparing it to the libraries listed below
Sorting:
- ☆85Updated 3 years ago
- ☆46Updated 3 years ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆78Updated 2 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆34Updated last year
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.☆137Updated 2 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Updated 3 years ago
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆41Updated 2 years ago
- official pytorch implementation of Rethining Self-supervised Learning: Small is Beautiful.☆42Updated 3 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆99Updated 2 years ago
- PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]☆77Updated 3 years ago
- Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.☆23Updated 3 years ago
- Repository providing a wide range of self-supervised pretrained models for computer vision tasks.☆61Updated 4 years ago
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆35Updated last year
- Official codes: Self-Supervised Learning by Estimating Twin Class Distribution☆100Updated 3 years ago
- [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".☆144Updated 6 months ago
- PyTorch implementation for our paper EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels☆28Updated 4 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
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Updated 3 years ago
- ☆65Updated 3 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 3 years ago
- (L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise☆49Updated 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
- PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482☆103Updated 4 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆103Updated 3 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 3 years ago
- ☆26Updated 3 years ago
- SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition (ICCV 2021)☆98Updated 2 years ago