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10 search results found

Awesome Out Of Distribution Detection ⭐ 400

A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization

Official PyTorch implementation of Fully Attentional Networks

Entropic Out Of Distribution Detection ⭐ 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 ⭐ 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.

Large_vlm_distillation_ood ⭐ 29

Distilling Large Vision-Language Model with Out-of-Distribution Generalizability (ICCV 2023)

Bpc_calibration ⭐ 23

[CVPR 2023] Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection

Characterizing_generalization_in_deepmetriclearning ⭐ 11

Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.

Robust Deep Learning ⭐ 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.

AICONSlab's DL benchmarking platform to OOD data in MRI

Masking_strategies_bias_removal ⭐ 6

Masking Strategies for Background Bias Removal in Computer Vision Models (ICCVW OODCV 2023 paper)

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