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An open API service indexing awesome lists of open source software.
Projects in Awesome Lists tagged with out-of-distribution
A curated list of projects in awesome lists tagged with out-of-distribution .
https://github.com/NVlabs/FAN
Official PyTorch implementation of Fully Attentional Networks
backbone cityscapes coco corruption deep-learning image-classification imagenet information-bottleneck object-detection out-of-distribution pre-train self-attention semantic-segmentation vision-transformers visual-grouping visual-recognition
Last synced: 07 Aug 2024
https://github.com/lixiaotong97/DSU
[ICLR 2022] Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference on Learning Representations (ICLR) 2022.
domain-generalization iclr2022 out-of-distribution
Last synced: 03 Aug 2024
https://github.com/yongduosui/CAL
[KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua.
causal-inference graph-neural-networks out-of-distribution
Last synced: 08 Aug 2024
https://github.com/dlmacedo/distinction-maximization-loss
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.
ai-safety anomaly-detection classification deep-learning machine-learning novelty-detection ood ood-detection open-set open-set-recognition osr out-of-distribution out-of-distribution-detection pytorch robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-estimation
Last synced: 01 Aug 2024
https://chenshuang-zhang.github.io/imagenet_d/
[CVPR2024 Highlight] Official Code for "ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object"
benchmark computer-vision dataset diffusion-models generative-models image-recognition imagenet large-language-model multi-modality out-of-distribution recognition robustness stable-diffusion synthetic-data text-to-image-synthesis vision-language-model
Last synced: 01 Aug 2024
https://github.com/Confusezius/Characterizing_Generalization_in_DeepMetricLearning
Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.
cars196 cub200-2011 deep-learning deep-metric-learning generalization out-of-distribution pytorch stanford-online-products
Last synced: 03 Aug 2024
https://github.com/dlmacedo/robust-deep-learning
A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.
anomaly-detection classification deep-learning deep-neural-networks machine-learning novelty-detection ood-detection open-set open-set-recognition out-of-distribution out-of-distribution-detection pytorch robust-deep-learning robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-calibration uncertainty-estimation uncertainty-neural-networks
Last synced: 01 Aug 2024
https://github.com/uulm-mrm/mmood3d
[IV 2024] Official code for "Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection"
iv2024 lidar-object-detection nuscenes ood-object-detection out-of-distribution out-of-distribution-detection
Last synced: 31 Jul 2024
