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Search results for deep learning ood detection
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10 search results found
Awesome Out Of Distribution Detection
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400
A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
Pytorch Ood
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166
👽 Out-of-Distribution Detection with PyTorch
Pebal
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129
[ECCV'22 Oral] Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
Entropic Out Of Distribution Detection
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47
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.
Distinction Maximization Loss
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34
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.
Well Classified Examples Are Underestimated
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24
Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"
Pnml_ood_detection
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23
Out-of-distribution detection using the pNML regret. NeurIPS2021
Diffguard
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13
[ICCV 2023] The official implementation of paper "DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models"
Robust Deep Learning
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9
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.
Calibrated Bert Fine Tuning
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5
Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
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