There are 12 repositories under out-of-distribution-detection topic.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
Benchmarking Generalized Out-of-Distribution Detection
A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
The Official Repository for "Generalized OOD Detection: A Survey"
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
The Combined Anomalous Object Segmentation (CAOS) Benchmark
The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks
Papers for Open Knowledge Discovery
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).
Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)
A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.
Deep Open Intent Classification with Adaptive Decision Boundary (AAAI 2021)
Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems to reduce costs, extend their lifespan, and facilitate sustainable development.
The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
Outlier Exposure with Confidence Control for Out-of-Distribution Detection
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
OOD Generalization and Detection (ACL 2020)
PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022
This is the official repository for the paper "A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges".
Paper of out of distribution detection and generalization
PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
Official code for RbA: Segmenting Unknown Regions Rejected by All (ICCV 2023)
A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.
Latent Discriminant deterministic Uncertainty [ECCV2022]
A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)