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Out-of-Distribution Detection
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Detect out-of-distribution or anomalous examples.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection
Out-of-distribution detection in 3D applications: a review
Generative Adversarial Evasion and Out-of-Distribution Detection for UAV Cyber-Attacks
A Variational Information Theoretic Approach to Out-of-Distribution Detection
Enclosing Prototypical Variational Autoencoder for Explainable Out-of-Distribution Detection
DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
EviNet: Evidential Reasoning Network for Resilient Graph Learning in the Open and Noisy Environments
Buffer-free Class-Incremental Learning with Out-of-Distribution Detection
Network Inversion for Uncertainty-Aware Out-of-Distribution Detection
Improving Out-of-Distribution Detection with Markov Logic Networks
Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps
Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selections and Approximations
GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection
NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI
Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation
GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents
Unsupervised Out-of-Distribution Detection in Medical Imaging Using Multi-Exit Class Activation Maps and Feature Masking
Quantum Conflict Measurement in Decision Making for Out-of-Distribution Detection
Adaptive Scoring and Thresholding with Human Feedback for Robust Out-of-Distribution Detection
Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey
Out-of-Distribution Detection in Heterogeneous Graphs via Energy Propagation
Digital Twin-based Out-of-Distribution Detection in Autonomous Vessels
Can We Ignore Labels In Out of Distribution Detection?
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Bayesian continual learning and forgetting in neural networks
Enhancing Out-of-Distribution Detection with Extended Logit Normalization
Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling Representations
EOOD: Entropy-based Out-of-distribution Detection
Few-Shot Graph Out-of-Distribution Detection with LLMs
Extremely Simple Out-of-distribution Detection for Audio-visual Generalized Zero-shot Learning
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection
Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations
OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection
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