eminorhan / ood-benchmarksLinks
Out-of-distribution generalization benchmarks for image recognition models
☆14Updated 5 years ago
Alternatives and similar repositories for ood-benchmarks
Users that are interested in ood-benchmarks are comparing it to the libraries listed below
Sorting:
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Updated 2 years ago
- Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))☆18Updated 2 years ago
- ☆20Updated 4 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆57Updated 4 years ago
- ☆42Updated 5 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated 2 years ago
- [ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision☆27Updated 4 years ago
- reanalysis of the ObjectNet paper and our annotations and code☆16Updated 4 years ago
- pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsup…☆18Updated 5 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 4 years ago
- Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification☆24Updated 5 years ago
- ☆45Updated 3 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Updated 3 years ago
- Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22☆37Updated 3 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 4 years ago
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆39Updated 4 years ago
- ☆85Updated 3 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆105Updated 3 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…☆62Updated 2 years ago
- 1'st Place approach for CVPR 2020 Continual Learning Challenge☆46Updated 5 years ago
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆46Updated 2 years ago
- Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes☆23Updated 5 years ago
- sidetuning.berkeley.edu☆71Updated 2 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆44Updated 3 years ago
- This is the official repository for Batch Level Distillation (BLD)☆15Updated 4 years ago
- [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…☆82Updated 3 years ago
- Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search☆27Updated 5 years ago
- Code of "Visualizing and Understanding Object Detecor"☆20Updated 4 years ago