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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/moose-eccv22/moose_eccv2022

공식 코드

Probing Contextual Diversity for Dense Out-of-Distribution Detection

https://github.com/mu-cai/frl

공식 코드

Out-of-distribution Detection via Frequency-regularized Generative Models

https://github.com/muktilin/nice

공식 코드

The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation

https://github.com/mvaldenegro/paper-quality-epistemic-uncertainty-bayes

공식 코드

Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings

https://github.com/name-is-what/sego

공식 코드

Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection

https://github.com/naraysa/gzsl-od

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Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

https://github.com/nazim1021/OOD-detection-using-OECC

공식 코드

Outlier Exposure with Confidence Control for Out-of-Distribution Detection

https://github.com/ndb796/multipleinputmixup

공식 코드

Towards Reliable AI Model Deployments: Multiple Input Mixup for Out-of-Distribution Detection

https://github.com/neurodata/kdg

공식 코드

Simple Calibration via Geodesic Kernels

https://github.com/nguoikhongnao/real_oecl

공식 코드

Understanding normalization in contrastive representation learning and out-of-distribution detection

https://github.com/nicholas-mei/ood_detection_snojoe

공식 코드

Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy

https://github.com/nikitadurasov/masksembles

공식 코드

Masksembles for Uncertainty Estimation

https://github.com/njustkmg/AAAI25-ITP

공식 코드

ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection

https://github.com/o4lc/greg-ood

공식 코드

Gradient-Regularized Out-of-Distribution Detection

https://github.com/olivesgatech/gradtrust

공식 코드

Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks

https://github.com/olivesgatech/introspective-learning

공식 코드

Introspective Learning : A Two-Stage Approach for Inference in Neural Networks

https://github.com/oulu-imeds/greedy_ensembles_training

공식 코드

Greedy Bayesian Posterior Approximation with Deep Ensembles

https://github.com/pascalschlachter/gmm

공식 코드

Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model

https://github.com/peymanmorteza/gem

공식 코드

Provable Guarantees for Understanding Out-of-distribution Detection

https://github.com/pokaxpoka/deep_Mahalanobis_detector

공식 코드

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

https://github.com/princetonvisualai/imagenetood

공식 코드

ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms

https://github.com/pvjosue/cwfa

공식 코드

Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing Flows

https://github.com/pyjulie/medical-vlms-ood-detection

공식 코드

Delving into Out-of-Distribution Detection with Medical Vision-Language Models

https://github.com/qingyangzhang/dul

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The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection

https://github.com/qinyu-allen-zhao/optfsood

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Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection

https://github.com/qitianwu/graphood-gnnsafe

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Energy-based Out-of-Distribution Detection for Graph Neural Networks

https://github.com/qizhouwang/doe

공식 코드

Out-of-distribution Detection with Implicit Outlier Transformation

https://github.com/qizhouwang/watermarking

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Watermarking for Out-of-distribution Detection

https://github.com/qqwsad5/is-ood

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Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox

https://github.com/qurai-amsterdam/airogs-evaluation

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AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge

https://github.com/rajatkoner08/oodformer

공식 코드

OODformer: Out-Of-Distribution Detection Transformer

https://github.com/remic-othr/openmibood

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OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection

https://github.com/ricky-ma/ODDObjects

공식 코드

ODDObjects: A Framework for Multiclass Unsupervised Anomaly Detection on Masked Objects

https://github.com/robin-chan/meta-ood

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Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation

https://github.com/rohban-lab/atd

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Your Out-of-Distribution Detection Method is Not Robust!

https://github.com/roomo7time/nnguide

공식 코드

Nearest Neighbor Guidance for Out-of-Distribution Detection

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