ood-detection
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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
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Mar 9, 2025
The Official Repository for "Generalized OOD Detection: A Survey"
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Oct 9, 2022 - Jupyter Notebook
👽 Out-of-Distribution Detection with PyTorch
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Feb 26, 2025 - Python
[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
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Feb 27, 2024 - Python
[ECCV'22 Oral] Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
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Aug 31, 2023 - Python
ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
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Dec 2, 2023 - Python
[ICCV'23] Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
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Apr 6, 2024 - Python
[ICCV 2021 Oral] Deep Evidential Action Recognition
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Sep 4, 2023 - Python
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 Detection.
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Jul 2, 2024 - Python
[SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.
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Feb 15, 2021 - Python
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.
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Sep 22, 2022 - Python
Robust Out-of-distribution Detection in Neural Networks
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Apr 12, 2022 - Python
The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
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Mar 21, 2022 - Python
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 establishes state-of-the-art performance.
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Feb 17, 2022 - Python
Paper of out of distribution detection and generalization
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Aug 23, 2023
[ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation
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Apr 28, 2024 - Python
Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"
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Sep 19, 2022 - Jupyter Notebook
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.
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Sep 22, 2022 - Python
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).
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Sep 7, 2021 - Jupyter Notebook
[ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
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Nov 18, 2024 - Python
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