Out-of-Distribution Detection Using Layerwise Uncertainty in Deep Neural Networks
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Updated
Sep 25, 2019 - Python
Out-of-Distribution Detection Using Layerwise Uncertainty in Deep Neural Networks
Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]
The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks
Attribute-Inference for out-of-set Detection
Deriving Generative Classifier From Any Given Discriminative Classifier
OOD Generalization and Detection (ACL 2020)
Unsupervised Error Detection through Clustering. Work performed at IISc Bangalore
Multilabel Out-of-Distribution Detection
ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection
Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)
Outlier Exposure with Confidence Control for Out-of-Distribution Detection
Reproducible code for the paper “A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers"
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
Out-of-Distribution Detection For Forgery Images Using Digital Watermarking
Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR2021).
Probabilistic Trust Intervals For Detecting Out of Distribution Images
Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
Baseline for out-of-distribution detection
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