Popular GitHub Repositories for Out Of Distribution Detection

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

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

The Combined Anomalous Object Segmentation (CAOS) Benchmark

The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks

Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 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.

[SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.

Outlier Exposure with Confidence Control for Out-of-Distribution Detection

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".

OOD Generalization and Detection (ACL 2020)

Official code for RbA: Segmenting Unknown Regions Rejected by All (ICCV 2023)

[ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation

MASKER: Masked Keyword Regularization for Reliable Text Classification (AAAI 2021)

The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"

ICLR 2025会议论文：局部提示的可扩展实现——用于小样本分布外检测

Implementation of "Detecting Anomalous Event Sequences with Temporal Point Processes" (NeurIPS 2021)

A curated list of resources for OOD detection with graph data.

Python package to accelerate research on generalized out-of-distribution (OOD) detection.