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Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source libraries e...
Created
2023-08-07
68 commits to main branch, last one 2 days ago
The Official Repository for "Generalized OOD Detection: A Survey"
Created
2021-08-18
36 commits to main branch, last one about a year ago
[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
Created
2022-12-16
273 commits to main branch, last one 4 months ago
👽 Out-of-Distribution Detection with PyTorch
Created
2022-08-22
328 commits to dev branch, last one 10 days ago
[ECCV'22 Oral] Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
Created
2021-11-24
59 commits to main branch, last one 10 months ago
[ICCV'23] Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
Created
2022-11-26
23 commits to main branch, last one 2 months ago
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...
Created
2023-02-06
37 commits to master branch, last one 5 months ago
[ICCV 2021 Oral] Deep Evidential Action Recognition
Created
2021-02-24
1,137 commits to master branch, last one 9 months ago
ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
Created
2023-08-16
23 commits to main branch, last one 6 months ago
Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)
Created
2020-08-05
15 commits to master branch, last one 3 years ago
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...
Created
2019-08-16
50 commits to master branch, last one about a year ago
Robust Out-of-distribution Detection in Neural Networks
Created
2020-03-20
11 commits to master branch, last one 2 years ago
The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
Created
2021-08-20
7 commits to main branch, last one 2 years ago
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 ...
Created
2020-06-30
34 commits to master branch, last one 2 years ago
Paper of out of distribution detection and generalization
Created
2023-01-10
71 commits to main branch, last one 10 months ago
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...
Created
2022-05-10
40 commits to master branch, last one about a year ago
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).
Created
2021-04-08
45 commits to main branch, last one 2 years ago
The official implementation for Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection (DiffOOD)
Created
2022-11-20
4 commits to master branch, last one about a year ago
[ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation
Created
2023-04-02
76 commits to main branch, last one 2 months ago
Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"
Created
2021-10-13
23 commits to main branch, last one about a year ago