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Search results for python out of distribution detection

out-of-distribution-detection x

36 search results found

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

Openood ⭐ 681

Benchmarking Generalized Out-of-Distribution Detection

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

Outlier Exposure ⭐ 378

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

Self-Supervised Learning for OOD Detection (NeurIPS 2019)

Anomaly Seg ⭐ 136

The Combined Anomalous Object Segmentation (CAOS) Benchmark

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

[TPAMI 2021] Adversarial Reciprocal Points Learning for Open Set Recognition

Masksembles ⭐ 90

Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR2021).

Pre Training ⭐ 79

Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

[ICCV 2021] Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain

MASKER: Masked Keyword Regularization for Reliable Text Classification (AAAI 2021)

PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022

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.

Adaptive Decision Boundary ⭐ 43

Deep Open Intent Classification with Adaptive Decision Boundary (AAAI2021)

Graphood Gnnsafe ⭐ 42

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.

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.

PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023

Cosine Ood Detector ⭐ 28

Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

Mask2anomaly Unmasking Anomalies In Road Scene Segmentation ⭐ 26

[ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation

Muad Dataset ⭐ 23

MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]

Ddpm Ood ⭐ 22

Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"

Localizable Rotation ⭐ 21

Official PyTorch Repository of "Tailoring Self-Supervision for Supervised Learning" (ECCV 2022 Paper)

Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments

Rankfeat ⭐ 16

NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection"

Fssd_ood_detection ⭐ 14

Feature Space Singularity for Out-of-Distribution Detection.

This is the code accompanying the AAAI 2022 paper "Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives" https://arxiv.org/abs/2201.11736 . The method allows you to use additional ranking information for representation learning.

Heatmap_ood ⭐ 10

Heatmap-based Out-of-Distribution Detection (WACV 2023)

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.

Flowenedet ⭐ 9

Official PyTorch code for UAI 2023 paper "Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow"

Osr Ood Ad Methods ⭐ 8

This is the official repository for the paper "A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges".

Unsupervised Out Of Distribution Detection By Maximum Classifier Discrepancy ⭐ 7

Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]

Detecting Failure Modes in Image Reconstructions with Interval Neural Network Uncertainty

Moose_eccv2022 ⭐ 5

Code for the paper "Probing Contextual Diversity for Dense Out-of-Distribution Detection"

Abstention Ood ⭐ 5

Supplementary Python code for our Out-Of-Distribution paper

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