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Out-of-Distribution Detection

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하위 태스크: 0
평가표: 53
보존된 평가 기록: 269

Detect out-of-distribution or anomalous examples.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/haoqiwang/vim

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ViM: Out-Of-Distribution with Virtual-logit Matching

https://github.com/harryanthony/mahalanobis-ood-detection

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On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging

https://github.com/hendrycks/anomaly-seg

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Scaling Out-of-Distribution Detection for Real-World Settings

https://github.com/hendrycks/error-detection

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A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

https://github.com/hendrycks/natural-adv-examples

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Natural Adversarial Examples

https://github.com/hendrycks/outlier-exposure

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Deep Anomaly Detection with Outlier Exposure

https://github.com/hendrycks/pre-training

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Using Pre-Training Can Improve Model Robustness and Uncertainty

https://github.com/hendrycks/ss-ood

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Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty

https://github.com/hewell0/projood

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Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layer

https://github.com/hlidmhkust/VCCIB

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Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework

https://github.com/hmsch/natural-synthetic-anomalies

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Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization

https://github.com/hongxin001/ODNL

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Open-set Label Noise Can Improve Robustness Against Inherent Label Noise

https://github.com/hoshi23/ood-x-banchmarks

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A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models

https://github.com/hoshi23/ood-x-benchmarks

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A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models

https://github.com/hugo0076/halo

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HALO: Robust Out-of-Distribution Detection via Joint Optimisation

https://github.com/hyunjunChhoi/Balanced_Energy

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Balanced Energy Regularization Loss for Out-of-distribution Detection

https://github.com/hyunsoocho77/lacl-official

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Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble

https://github.com/iCGY96/APR

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Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain

https://github.com/idogalil/benchmarking-uncertainty-estimation-performance

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What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers

https://github.com/inar-design/patt

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Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail

https://github.com/inspire-group/SSD

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SSD: A Unified Framework for Self-Supervised Outlier Detection

https://github.com/irmlma/uncertainty-quantification-snf

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Uncertainty quantification and out-of-distribution detection using surjective normalizing flows

https://github.com/irom-lab/Task_Relevant_OOD_Detection

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Task-Driven Detection of Distribution Shifts with Statistical Guarantees for Robot Learning

https://github.com/ivalab/wdiscood

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WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis

https://github.com/j-cb/breaking_down_ood_detection

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Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities

https://github.com/j-cb/ninco

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In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation

https://github.com/jadie1/medseguq

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Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation

https://github.com/jandiers/ood-detection

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Out-of-Distribution Detection Using Outlier Detection Methods

https://github.com/jeff024/palm

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Learning with Mixture of Prototypes for Out-of-Distribution Detection

https://github.com/jfc43/informative-outlier-mining

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ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining

https://github.com/jfc43/robust-ood-detection

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Robust Out-of-distribution Detection for Neural Networks

https://github.com/jgethanchen/gaia-ood

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GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection

https://github.com/jhornauer/heatmap_ood

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Heatmap-based Out-of-Distribution Detection

https://github.com/jhornauer/mde_ood

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Out-of-Distribution Detection for Monocular Depth Estimation

https://github.com/jianzongwu/awesome-open-vocabulary

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Towards Open Vocabulary Learning: A Survey

https://github.com/jimzai/mode-ood

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From Global to Local: Multi-scale Out-of-distribution Detection

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