[CVPR2024 Highlight] Official Code for "ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object"
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Updated
May 2, 2024 - Python
[CVPR2024 Highlight] Official Code for "ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object"
A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
[IV 2024] Official code for "Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection"
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability (ICCV 2023)
Scripts, figures and working notes for the participation in FungiCLEF-2022, part of the 13th CLEF Conference, 2022
Project Page (ObjectDR)
Masking Strategies for Background Bias Removal in Computer Vision Models (ICCVW OODCV 2023 paper)
Domain generalization benchmark for skin lesion recognition, MICCAI 2023
[NeurIPS 2023 (Spotlight)] Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
Intuitive evaluation of out-of-distribution detectors using simple toy examples.
The Limits of Fair Medical Imaging AI In The Wild
Official code and data for NeurIPS 2023 paper "ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification"
[KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua.
Implementation of the algorithms from "Learning Invariant Representations under General Interventions on the Response"
[NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He.
Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"
Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)
Replication package of the paper "On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Languages Models of Code" (FSE 2023)
Project Page (PromptStyler, ICCV 2023)
Repository for the paper "Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey"
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