asrafulashiq / transfer_broad
Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)
☆36Updated 3 years ago
Alternatives and similar repositories for transfer_broad:
Users that are interested in transfer_broad are comparing it to the libraries listed below
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆68Updated 2 years ago
- ☆59Updated 3 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- This is a public repository for:☆38Updated 3 years ago
- Evaluation of semi-supervised learning on challenging datasets☆35Updated 3 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
- ReSSL: Relational Self-Supervised Learning with Weak Augmentation☆58Updated 3 years ago
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆29Updated 3 years ago
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆53Updated 2 years ago
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆65Updated 3 years ago
- Official repository of the paper 'Essentials for Class Incremental Learning'☆40Updated 3 years ago
- ☆59Updated 3 years ago
- ☆32Updated 3 years ago
- ☆15Updated 2 years ago
- Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…☆34Updated 2 years ago
- Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"☆55Updated 4 years ago
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆41Updated 2 years ago
- ☆18Updated 2 years ago
- [CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition☆62Updated 2 years ago
- (CVPR 2022) Energy-based Latent Aligner for Incremental Learning☆50Updated 2 years ago
- Pretrained models for "What Makes Instance Discrimination Good for Transfer Learning?".☆29Updated 2 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆52Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆55Updated 2 years ago
- An open-world scenario domain generalization code base☆25Updated 2 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated last year
- [CVPR 2023] Regularizing Second-Order Influences for Continual Learning☆34Updated last year
- [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective☆24Updated 4 years ago
- This repo implements the CVPR23 paper Trainable Projected Gradient Method for Robust Fine-tuning☆24Updated last year
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆91Updated 3 years ago