bethgelab / robustness
Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.
☆134Updated last year
Alternatives and similar repositories for robustness:
Users that are interested in robustness are comparing it to the libraries listed below
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆122Updated 2 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆91Updated 3 years ago
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆183Updated last year
- PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)☆44Updated last year
- ☆84Updated 3 years ago
- CLEAR benchmark (NeurIPS 2021 Dataset & Benchmark)☆26Updated last year
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆118Updated last year
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆65Updated 3 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆85Updated 2 years ago
- ☆66Updated 2 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆119Updated 3 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆55Updated 2 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated last year
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 3 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆52Updated 3 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆147Updated 3 years ago
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆97Updated 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
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆68Updated 2 years ago
- Robust Out-of-distribution Detection in Neural Networks☆72Updated 2 years ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆34Updated 7 months ago
- Official PyTorch implementation of MIRO (ECCV 2022)☆86Updated 2 years ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆263Updated 3 years ago
- ☆63Updated last year
- ☆66Updated 5 years ago
- ☆63Updated 3 years ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆116Updated last year
- PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"☆62Updated 2 years ago