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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/anugyas/ood-on-nae

공식 코드

Out of Distribution Detection on ImageNet-O

https://github.com/atsumiyai/gl-mcm

공식 코드

GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection

https://github.com/atsumiyai/locoop

공식 코드

LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning

https://github.com/atsumiyai/pt-ood

공식 코드

Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?

https://github.com/awenbocc/llm-ood

공식 코드

How Good Are LLMs at Out-of-Distribution Detection?

https://github.com/bangxiangyong/bae-ood-images

공식 코드

Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection

https://github.com/bghojogh/Curvature-Anomaly-Detection

공식 코드

Anomaly Detection and Prototype Selection Using Polyhedron Curvature

https://github.com/bghojogh/iMondrian

공식 코드

Isolation Mondrian Forest for Batch and Online Anomaly Detection

https://github.com/bhattarailab/ncdd

공식 코드

NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision

https://github.com/bierone/ood_coverage

공식 코드

Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization

https://github.com/biweidai/SIG

공식 코드

Sliced Iterative Normalizing Flows

https://github.com/blupblupblup/doppler-signatures-generation

공식 코드

Near out-of-distribution detection for low-resolution radar micro-Doppler signatures

https://github.com/blupblupblup/near-ood-doppler-signatures

공식 코드

Near out-of-distribution detection for low-resolution radar micro-Doppler signatures

https://github.com/bmucsanyi/bud

공식 코드

Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks

https://github.com/bmucsanyi/untangle

공식 코드

Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks

https://github.com/borisshirokikh/mood_submission_sample-level_airi

공식 코드

Solving Sample-Level Out-of-Distribution Detection on 3D Medical Images

https://github.com/boschresearch/rince

공식 코드

Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives

https://github.com/ca1man-2022/awesome-good-detection

공식 코드

Out-of-Distribution Detection on Graphs: A Survey

https://github.com/caotians1/OD-test-master

공식 코드

A Benchmark of Medical Out of Distribution Detection

https://github.com/charlesge/openood-cadet

공식 코드

CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning

https://github.com/chirag126/VOG

공식 코드

Estimating Example Difficulty Using Variance of Gradients

https://github.com/chrhenning/uncertainty_based_ood

공식 코드

On out-of-distribution detection with Bayesian neural networks

https://github.com/christophbrgr/ood_detection_framework

공식 코드

Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis

https://github.com/cleanlab/cleanlab

공식 코드

Back to the Basics: Revisiting Out-of-Distribution Detection Baselines

https://github.com/cleanlab/ood-detection-benchmarks

공식 코드

Back to the Basics: Revisiting Out-of-Distribution Detection Baselines

https://github.com/clear-nus/diffpath

공식 코드

Out-of-Distribution Detection with a Single Unconditional Diffusion Model

https://github.com/clovaai/CutMix-PyTorch

공식 코드

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

https://github.com/clovaai/voxceleb_trainer

공식 코드

Magnitude-aware Probabilistic Speaker Embeddings

https://github.com/coinse/sadl

공식 코드

A Review and Refinement of Surprise Adequacy

https://github.com/constantinouchristos/ood-ahm

공식 코드

Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification

https://github.com/cps-research-group/cps-ntu-public

공식 코드

Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile Robot

https://github.com/cure-lab/diffguard

공식 코드

DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models

https://github.com/cure-lab/moodcat

공식 코드

Out-of-Distribution Detection with Semantic Mismatch under Masking

https://github.com/cvlab-epfl/iter_unc

공식 코드

Enabling Uncertainty Estimation in Iterative Neural Networks

https://github.com/cwangrun/MGProto

공식 코드

Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition

https://github.com/cytai/srlood

공식 코드

Semantic Role Labeling Guided Out-of-distribution Detection

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