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Title: GitHub - Intellindust-AI-Lab/SURE: “SURE: SUrvey REcipes for building reliable and robust deep networks” (CVPR 2024) & (ECCV 2024 OOD-CV Challenge Winner) · GitHub

Open Graph Title: GitHub - Intellindust-AI-Lab/SURE: “SURE: SUrvey REcipes for building reliable and robust deep networks” (CVPR 2024) & (ECCV 2024 OOD-CV Challenge Winner)

X Title: GitHub - Intellindust-AI-Lab/SURE: “SURE: SUrvey REcipes for building reliable and robust deep networks” (CVPR 2024) & (ECCV 2024 OOD-CV Challenge Winner)

Description: “SURE: SUrvey REcipes for building reliable and robust deep networks” (CVPR 2024) & (ECCV 2024 OOD-CV Challenge Winner) - Intellindust-AI-Lab/SURE

Open Graph Description: “SURE: SUrvey REcipes for building reliable and robust deep networks” (CVPR 2024) & (ECCV 2024 OOD-CV Challenge Winner) - Intellindust-AI-Lab/SURE

X Description: “SURE: SUrvey REcipes for building reliable and robust deep networks” (CVPR 2024) & (ECCV 2024 OOD-CV Challenge Winner) - Intellindust-AI-Lab/SURE

Opengraph URL: https://github.com/Intellindust-AI-Lab/SURE

X: @github

direct link

Domain: github.com

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READMEhttps://github.com/Intellindust-AI-Lab/SURE
https://github.com/Intellindust-AI-Lab/SURE#-sure-cvpr-2024--eccv-2024-ood-cv-challenge-winner
https://github.com/Intellindust-AI-Lab/SURE#introduction
https://openaccess.thecvf.com/content/CVPR2024/papers/Li_SURE_SUrvey_REcipes_for_building_reliable_and_robust_deep_networks_CVPR_2024_paper.pdf
https://www.ood-cv.org/challenge.html
https://yutingli0606.github.io/SURE/
https://drive.google.com/drive/folders/1xT-cX22_I8h5yAYT1WNJmhSLrQFZZ5t1?usp=sharing
https://github.com/Intellindust-AI-Lab/SURE/blob/main/img/poster.pdf
https://github.com/Intellindust-AI-Lab/SURE#news
ECCV 2024 OOD-CV Challengehttps://www.ood-cv.org/challenge.html
SSB-OSRhttps://github.com/LIYangggggg/SSB-OSR
https://github.com/Intellindust-AI-Lab/SURE/blob/main/img/Teaser.png
https://github.com/Intellindust-AI-Lab/SURE#table-of-content
1. Overview of recipeshttps://github.com/Intellindust-AI-Lab/SURE#1-overview-of-recipes
2. Visual Resultshttps://github.com/Intellindust-AI-Lab/SURE#2-visual-results
3. Installationhttps://github.com/Intellindust-AI-Lab/SURE#3-installation
4. Quick Starthttps://github.com/Intellindust-AI-Lab/SURE#4-quick-start
5. Citationhttps://github.com/Intellindust-AI-Lab/SURE#5-citation
6. Acknowledgementhttps://github.com/Intellindust-AI-Lab/SURE#6-acknowledgement
https://github.com/Intellindust-AI-Lab/SURE#1-overview-of-recipes
https://github.com/Intellindust-AI-Lab/SURE/blob/main/img/recipes.png
https://github.com/Intellindust-AI-Lab/SURE#2-visual-results
https://github.com/Intellindust-AI-Lab/SURE/blob/main/img/confidence.png
https://github.com/Intellindust-AI-Lab/SURE/blob/main/img/ood.png
https://github.com/Intellindust-AI-Lab/SURE#3-installation
https://github.com/Intellindust-AI-Lab/SURE#31-environment
https://github.com/Intellindust-AI-Lab/SURE#32-datasets
https://github.com/Intellindust-AI-Lab/SURE#321-cifar-and-tiny-imagenet
here.https://drive.google.com/drive/folders/1xT-cX22_I8h5yAYT1WNJmhSLrQFZZ5t1?usp=sharing
https://github.com/Intellindust-AI-Lab/SURE#322-imagenet1k-and-imagenet21k
ImageNet-21K-Phttps://arxiv.org/abs/2104.10972
herehttps://github.com/sgvaze/SSB/blob/main/DATA.md
https://github.com/Intellindust-AI-Lab/SURE#323-animal-10n-and-food-101n
[Song et al., 2019]https://proceedings.mlr.press/v97/song19b/song19b.pdf
herehttps://dm.kaist.ac.kr/datasets/animal-10n/
[Lee et al., 2018]https://arxiv.org/pdf/1711.07131.pdf
herehttps://kuanghuei.github.io/Food-101N/
https://github.com/Intellindust-AI-Lab/SURE#324-cifar-lt
https://github.com/Intellindust-AI-Lab/SURE#325-cifar10-c
[Hendrycks et al., 2019]https://arxiv.org/pdf/1903.12261.pdf
herehttps://github.com/hendrycks/robustness?tab=readme-ov-file
https://github.com/Intellindust-AI-Lab/SURE#326-stanford-cars
herehttp://ai.stanford.edu/~jkrause/cars/car_dataset.html
https://github.com/Intellindust-AI-Lab/SURE#4-quick-start
here.https://drive.google.com/drive/folders/1xT-cX22_I8h5yAYT1WNJmhSLrQFZZ5t1?usp=sharing
https://github.com/Intellindust-AI-Lab/SURE#41-failure-prediction
herehttps://dl.fbaipublicfiles.com/deit/deit_base_patch16_224-b5f2ef4d.pth
herehttps://dl.fbaipublicfiles.com/deit/deit_base_distilled_patch16_224-df68dfff.pth
https://github.com/Intellindust-AI-Lab/SURE/blob/main/img/main_results.jpeg
https://github.com/Intellindust-AI-Lab/SURE#42-long-tailed-classification
https://github.com/Intellindust-AI-Lab/SURE/blob/main/img/long-tail.jpeg
https://github.com/Intellindust-AI-Lab/SURE#43-learning-with-noisy-labels
https://github.com/Intellindust-AI-Lab/SURE/blob/main/img/label-noise.jpeg
https://github.com/Intellindust-AI-Lab/SURE#44-robustness-under-data-corruption
https://github.com/Intellindust-AI-Lab/SURE/blob/main/img/data-corruption.jpeg
https://github.com/Intellindust-AI-Lab/SURE#45-out-of-distribution-detection
SSB-OSRhttps://github.com/LIYangggggg/SSB-OSR
https://github.com/Intellindust-AI-Lab/SURE/blob/main/img/ood_results.png
https://github.com/Intellindust-AI-Lab/SURE#5-citation
https://github.com/Intellindust-AI-Lab/SURE#6-acknowledgement
FMFPhttps://github.com/Impression2805/FMFP
OpenMixhttps://github.com/Impression2805/OpenMix
yutingli0606.github.io/SURE/https://yutingli0606.github.io/SURE/
uncertainty-estimation https://github.com/topics/uncertainty-estimation
failure-prediction https://github.com/topics/failure-prediction
data-corruption https://github.com/topics/data-corruption
label-noise https://github.com/topics/label-noise
out-of-distribution-detection https://github.com/topics/out-of-distribution-detection
long-tailed-distribution https://github.com/topics/long-tailed-distribution
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