inspire-group / SSDLinks
SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]
☆138Updated 4 years ago
Alternatives and similar repositories for SSD
Users that are interested in SSD are comparing it to the libraries listed below
Sorting:
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆90Updated last year
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆79Updated 4 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆71Updated 4 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…☆44Updated 3 years ago
- CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)☆284Updated 2 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆270Updated 4 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆89Updated 4 years ago
- ☆46Updated 5 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆41Updated 4 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆43Updated 5 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆27Updated 3 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆98Updated 4 years ago
- Out-of-distribution detection using the pNML regret. NeurIPS2021☆25Updated last year
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- ☆57Updated 4 years ago
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆92Updated 3 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 5 years ago
- The Official Repository for "Generalized OOD Detection: A Survey"☆455Updated 3 years ago
- ☆156Updated last year
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆31Updated 3 years ago
- (L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise☆51Updated 2 years ago
- This is the official repository for the paper "A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutio…☆63Updated 3 years ago
- ☆429Updated 4 years ago
- Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]☆30Updated 6 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 5 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆233Updated 7 years ago
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.☆137Updated 2 years ago
- Generalizing to unseen domains via distribution matching☆73Updated 5 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Updated 4 years ago