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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/tmlr-group/eoe

공식 코드

Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection

https://github.com/tmlr-group/sct

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Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection

https://github.com/tmlr-group/unleashing-mask

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Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability

https://github.com/tommydzh/sgood

공식 코드

SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection

https://github.com/ub-gold/ub-gold

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Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark

https://github.com/uestc-nnlab/mvol

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Mining In-distribution Attributes in Outliers for Out-of-distribution Detection

https://github.com/um-dsp/morphence

공식 코드

Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection

https://github.com/uoguelph-mlrg/confidence_estimation

공식 코드

Learning Confidence for Out-of-Distribution Detection in Neural Networks

https://github.com/uulm-mrm/mmood3d

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Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection

https://github.com/valeoai/obsnet

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Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation

https://github.com/vectorinstitute/vbll

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Variational Bayesian Last Layers

https://github.com/victor-yifanwu/Outlier-Exposure-by-Simple-Transformations

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Revisiting Energy-Based Model for Out-of-Distribution Detection

https://github.com/visual-ai/dissect-ood-osr

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Dissecting Out-of-Distribution Detection and Open-Set Recognition: A Critical Analysis of Methods and Benchmarks

https://github.com/vita-group/random_pruning

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The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training

https://github.com/vlievin/biva-pytorch

공식 코드

Hierarchical VAEs Know What They Don't Know

https://github.com/vmboehm/pae-ablation

공식 코드

Probabilistic Autoencoder

https://github.com/vojirt/grood

공식 코드

Calibrated Out-of-Distribution Detection with a Generic Representation

https://github.com/vojirt/pixood

공식 코드

PixOOD: Pixel-Level Out-of-Distribution Detection

https://github.com/vrkh1996/Generalization-in-OOD-Detection

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Towards Realistic Out-of-Distribution Detection: A Novel Evaluation Framework for Improving Generalization in OOD Detection

https://github.com/vuno/kirby

공식 코드

Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection

https://github.com/walline/prosub

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ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection

https://github.com/wenxichen2746/Perturbation-Rectified-OOD-Detection

공식 코드

Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection

https://github.com/wetliu/energy_ood

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Energy-based Out-of-distribution Detection

https://github.com/windstormer/mecam-ood

공식 코드

Unsupervised Out-of-Distribution Detection in Medical Imaging Using Multi-Exit Class Activation Maps and Feature Masking

https://github.com/wuzheng02/gem-oodforguiagents

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GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents

https://github.com/wyn430/wood

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WOOD: Wasserstein-based Out-of-Distribution Detection

https://github.com/wzhouad/Contra-OOD

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Contrastive Out-of-Distribution Detection for Pretrained Transformers

https://github.com/xbyym/dlsr

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Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection

https://github.com/xinweizhang/daebm

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Persistently Trained, Diffusion-assisted Energy-based Models

https://github.com/xmed-lab/clipn

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CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No

https://github.com/xuwangyin/at-ebms

공식 코드

Learning Energy-Based Models With Adversarial Training

https://github.com/y0ast/deterministic-uncertainty-quantification

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Uncertainty Estimation Using a Single Deep Deterministic Neural Network

https://github.com/yangarbiter/nearest-category-generalization

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Probing Predictions on OOD Images via Nearest Categories

https://github.com/ycfate/id-like

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ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection

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

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BED: Bi-Encoder-Based Detectors for Out-of-Distribution Detection

https://github.com/yixinliu233/g-ood-d

공식 코드

GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection

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