[CVPR 2024] Source code for "Diffusion-Based Adaptation for Classification of Unknown Degraded Images".
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Updated
Jun 11, 2024 - Python
[CVPR 2024] Source code for "Diffusion-Based Adaptation for Classification of Unknown Degraded Images".
[CVPR 2024] Improving out-of-distribution generalization in graphs via hierarchical semantic environments
RoboBEV: Towards Robust Bird's Eye View Perception under Common Corruption and Domain Shift
A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
Masking Strategies for Background Bias Removal in Computer Vision Models (ICCVW OODCV 2023 paper)
Demographic Bias of Vision-Language Foundation Models in Medical Imaging
[WACV 2024] Source code for "Consolidating separate degradations model via weights fusion and distillation".
Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)
Implementation of the paper SAM-Deblur: Let Segment Anything Boost Image Deblurring(ICASSP2024)
The Limits of Fair Medical Imaging AI In The Wild
This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints” (NeurIPS2022).
Code for the Conditional Mutual Information-Debiasing (CMID) method.
[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
Code for Mind the Label Shift of Augmentation-based Graph OOD generalization (LiSA) in CVPR 2023. LiSA is a model-agnostic Graph OOD framework.
Mitigating Spurious Correlations for Self-supervised Recommendation
The value of out-of-distribution data (ICML 2023)
The value of out-of-distribution data (ICML 2023)
Library for the training and evaluation of object-centric models (ICML 2022)
Causal Disentangled Recommendation Against Preference Shifts (TOIS), 2023
[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
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