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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/lufan31/lsa

공식 코드

Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection

https://github.com/luoyadan/crb-active-3ddet

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Open-CRB: Towards Open World Active Learning for 3D Object Detection

https://github.com/lygjwy/dos

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DOS: Diverse Outlier Sampling for Out-of-Distribution Detection

https://github.com/ma-kjh/CMA-OoDD

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Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations

https://github.com/mala-lab/adaptod

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Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation

https://github.com/mala-lab/cocl

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Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning

https://github.com/mala-lab/dfb

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Improving Out-of-Distribution Detection with Disentangled Foreground and Background Features

https://github.com/mala-lab/negprompt

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Learning Transferable Negative Prompts for Out-of-Distribution Detection

https://github.com/mala-lab/opencil

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OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning

https://github.com/maohaos2/edl-mirage

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Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?

https://github.com/mapleleaf6/zode

공식 코드

Boosting Out-of-Distribution Detection with Multiple Pre-trained Models

https://github.com/marclafon/heatood

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Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection

https://github.com/marksgraham/ddpm-ood

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Denoising diffusion models for out-of-distribution detection

https://github.com/marksgraham/transformer-ood

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Transformer-based out-of-distribution detection for clinically safe segmentation

https://github.com/mateuszbaransanok/trustworthyai

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Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks

https://github.com/matt-baugh/many-tasks-make-light-work

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Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks

https://github.com/maxnygma/icla

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Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection

https://github.com/mazizmalayeri/CEA

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Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations

https://github.com/mazizmalayeri/tabmedood

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Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data

https://github.com/mckellwoodland/dimen_reduce_mahal

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Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation

https://github.com/mdabbah/COOD_benchmarking

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A framework for benchmarking class-out-of-distribution detection and its application to ImageNet

https://github.com/meclabtuda/froodo

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FrOoDo: Framework for Out-of-Distribution Detection

https://github.com/meghshukla/activelearningforhumanpose

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VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation

https://github.com/megvii-research/FSSD_OoD_Detection

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Feature Space Singularity for Out-of-Distribution Detection

https://github.com/melanibe/failure_detection_benchmark

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Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed

https://github.com/mhw32/temperature-as-uncertainty-public

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Temperature as Uncertainty in Contrastive Learning

https://github.com/microsoft/KC

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Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text

https://github.com/microsoft/geospatial-ood-detection

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Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation

https://github.com/mikkoim/dnaimg-ood

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Improving Taxonomic Image-based Out-of-distribution Detection With DNA Barcodes

https://github.com/mkyucel/hybrid_augment

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HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness

https://github.com/ml-jku/hopfield-boosting

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Energy-based Hopfield Boosting for Out-of-Distribution Detection

https://github.com/ml-jku/uncertainty-measures

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On Information-Theoretic Measures of Predictive Uncertainty

https://github.com/mlmed/chester-xray

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Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System

https://github.com/mlo-lab/uncertainty_estimates_via_bvd

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Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition

https://github.com/mmasana/OoD_Mining

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Metric Learning for Novelty and Anomaly Detection

https://github.com/mona4399/featuremixing

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Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.