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Out-of-Distribution Detection

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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/0xfafa/fa

공식 코드

FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection

https://github.com/2454511550lin/tamefalsepositives-ood

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Taming False Positives in Out-of-Distribution Detection with Human Feedback

https://github.com/3mcloud/adafocal

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AdaFocal: Calibration-aware Adaptive Focal Loss

https://github.com/AlessandroW/A-Knee-Cannot-Have-Lunge-Disease-Out-Of-Distribution-Detection-With-In-Distribution-Voting

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A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification

https://github.com/AlexImmer/BNN-predictions

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Improving predictions of Bayesian neural nets via local linearization

https://github.com/AlexImmer/marglik

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Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning

https://github.com/AlexMeinke/certified-certain-uncertainty

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Towards neural networks that provably know when they don't know

https://github.com/AlonZolfi/YolOOD

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YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection

https://github.com/BaoshunWq/ood_GaCoOp

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Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization

https://github.com/Brown-SciML/pbj

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Improving Explainability of Softmax Classifiers Using a Prototype-Based Joint Embedding Method

https://github.com/Choubo/OLE

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Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure

https://github.com/Cogito2012/DEAR

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Evidential Deep Learning for Open Set Action Recognition

https://github.com/DebarghaG/forte

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Forte : Finding Outliers with Representation Typicality Estimation

https://github.com/ENSTA-U2IS-AI/torch-uncertainty

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Packed-Ensembles for Efficient Uncertainty Estimation

https://github.com/EvZissel/Residual-Flow

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Deep Residual Flow for Out of Distribution Detection

https://github.com/FraunhoferIKS/distro

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Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection

https://github.com/Fsoft-AIC/CTM_OOD

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https://github.com/HHU-MMBS/plp-official-tmlr2024

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Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection

https://github.com/JakobHavtorn/hvae-oodd

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Hierarchical VAEs Know What They Don't Know

https://github.com/Jarvisgivemeasuit/tagood

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TagOOD: A Novel Approach to Out-of-Distribution Detection via Vision-Language Representations and Class Center Learning

https://github.com/Jingkang50/ICCV21_SCOOD

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Semantically Coherent Out-of-Distribution Detection

https://github.com/KaosEngineer/PriorNetworks

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Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness

https://github.com/KostadinovShalon/fever-ood

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FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection

https://github.com/LeapMind/PUAD

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PUAD: Frustratingly Simple Method for Robust Anomaly Detection

https://github.com/MIPT-Oulu/greedy_ensembles_training

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Greedy Bayesian Posterior Approximation with Deep Ensembles

https://github.com/MSusik/Inhibited-softmax

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Inhibited Softmax for Uncertainty Estimation in Neural Networks

https://github.com/NVlabs/VAEBM

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VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models

https://github.com/NazirNayal8/RbA

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RbA: Segmenting Unknown Regions Rejected by All

https://github.com/OATML/bdl-benchmarks

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A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks

https://github.com/PRIS-CV/Structured-DropConnect

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Structured DropConnect for Uncertainty Inference in Image Classification

https://github.com/PanZiqiAI/disentangled-information-bottleneck

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Disentangled Information Bottleneck

https://github.com/Pilhyeon/WTAL-Uncertainty-Modeling

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Weakly-supervised Temporal Action Localization by Uncertainty Modeling

https://github.com/RanchoGoose/PViT

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PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection

https://github.com/RobustBench/robustbench

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RobustBench: a standardized adversarial robustness benchmark

https://github.com/SDret/Pytorch-implementation-for-Rethinking-Reconstruction-Autoencoder-Based-Out-of-Distribution-Detection

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Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection

https://github.com/SamWilso/HDFF_Official

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Hyperdimensional Feature Fusion for Out-Of-Distribution Detection

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