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open-set-recognition

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OpenGVLab / InternVideo

Star 1.4k

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

benchmark action-recognition video-understanding video-data self-supervised multimodal video-dataset open-set-recognition video-retrieval video-question-answering masked-autoencoder temporal-action-localization contrastive-learning spatio-temporal-action-localization zero-shot-retrieval video-clip vision-transformer zero-shot-classification foundation-models instruction-tuning
  • Updated Nov 17, 2024
  • Python

huytransformer / Awesome-Out-Of-Distribution-Detection

Star 827

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

awesome open-world outlier-detection anomaly open-set awesome-lists robustness anomaly-detection novelty-detection open-set-recognition out-of-distribution out-of-distribution-detection ood-detection ood-generalization out-of-distribution-generalization open-world-learning ood-robustness distribution-shifts out-of-distribution-robustness
  • Updated Nov 21, 2024

dlmacedo / entropic-out-of-distribution-detection

Star 74

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.

machine-learning deep-learning pytorch ood osr ai-safety open-set anomaly-detection novelty-detection robust-machine-learning open-set-recognition out-of-distribution out-of-distribution-detection ood-detection trustworthy-machine-learning trustworthy-ai
  • Updated Sep 22, 2022
  • Python

dlmacedo / distinction-maximization-loss

Star 45

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.

machine-learning deep-learning pytorch classification ood osr uncertainty-estimation ai-safety open-set anomaly-detection novelty-detection robust-machine-learning open-set-recognition out-of-distribution out-of-distribution-detection ood-detection trustworthy-machine-learning trustworthy-ai
  • Updated Sep 22, 2022
  • Python

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