megvii-research / FSSD_OoD_Detection
[SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.
☆80Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for FSSD_OoD_Detection
- Robust Out-of-distribution Detection in Neural Networks☆72Updated 2 years ago
- ☆46Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆53Updated 2 years ago
- [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…☆124Updated 2 years ago
- Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanis…☆43Updated 2 years ago
- ☆58Updated 2 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆56Updated 2 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆88Updated 3 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆27Updated 2 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 3 years ago
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Updated last year
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆134Updated 3 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆51Updated 2 years ago
- [TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"☆23Updated 4 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆83Updated 2 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆127Updated 3 years ago
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Updated 3 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆224Updated 5 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆99Updated 2 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆69Updated 3 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 3 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆104Updated 2 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆43Updated 2 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆70Updated 3 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 4 years ago
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.☆129Updated last year
- ☆106Updated 2 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆47Updated 3 years ago