ood-detection

Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc

The Official Repository for "Generalized OOD Detection: A Survey"

#计算机科学#👽 Out-of-Distribution Detection with PyTorch

[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

#计算机科学#[ECCV'22 Oral] Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes

ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No

Official PyTorch implementation of MOOD series: (1) MOODv1: Rethinking Out-of-distributionDetection: Masked Image Modeling Is All You Need. (2) MOODv2: Masked Image Modeling for Out-of-Distribution...

[ICCV 2021 Oral] Deep Evidential Action Recognition

[ICCV'23] Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation

#计算机科学#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 tim...

#计算机科学#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 tim...

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

#计算机科学#Robust Out-of-distribution Detection in Neural Networks

The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.

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

We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness of OOD detection to various types of adversarial OOD inputs and ...

Paper of out of distribution detection and generalization

#计算机科学#Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data (https://arxiv.org/abs/2002.11297).

#计算机科学#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 increas...