22 results found Sort:

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
Created 2023-08-07
77 commits to main branch, last one 12 days ago
39
448
unknown
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The Official Repository for "Generalized OOD Detection: A Survey"
Created 2021-08-18
36 commits to main branch, last one 2 years ago
33
267
unknown
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[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
Created 2022-12-16
273 commits to main branch, last one 9 months ago
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257
apache-2.0
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👽 Out-of-Distribution Detection with PyTorch
Created 2022-08-22
351 commits to dev branch, last one 5 days ago
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143
mit
4
[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 8 months ago
19
141
unknown
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[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 about a year ago
6
133
unknown
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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
38 commits to master branch, last one 5 months ago
12
129
mit
2
ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
Created 2023-08-16
23 commits to main branch, last one about a year ago
19
122
apache-2.0
5
[ICCV 2021 Oral] Deep Evidential Action Recognition
Created 2021-02-24
1,137 commits to master branch, last one about a year ago
[SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.
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 2 years 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 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 3 years 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 2 years 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 2 years ago
[ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
Created 2024-02-20
10 commits to main branch, last one 15 days ago
[NeurIPS 2024] Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
Created 2024-09-27
11 commits to main branch, last one about a month ago
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28
unknown
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✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
Created 2023-09-25
16 commits to main branch, last one about a month ago