out-of-distribution detection

Exploiting Inter-Sample Information for Long-Tailed Out-of-Distribution Detection WACV 2025 Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation ICCV 2025 Extending Temperature Scaling with Homogenizing Maps JMLR 2025 FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection ICCV 2025 FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection ICCV 2025 Few-Shot Open-Set Classification via Reasoning-Aware Decomposition EMNLP 2025 Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects using Prototypes WACV 2025 Forte : Finding Outliers with Representation Typicality Estimation ICLR 2025 From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation ICLR 2025 Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training AAAI 2025 Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention ICCV 2025 Graph OOD Detection via Plug-and-Play Energy-based Evaluation and Propagation IJCAI 2025 Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation AAAI 2025 H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection CVPR 2025 Harnessing Large Language and Vision-Language Models for Robust Out-of-Distribution Detection ACML 2025 How to Generalize the Detection of AI-Generated Text: Confounding Neurons EMNLP 2025 HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation AAAI 2025 Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection WACV 2025 ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection AAAI 2025 Joint Out-of-Distribution Filtering and Data Discovery Active Learning CVPR 2025 Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey NAACL 2025 Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection CVPR 2025 Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection ICLR 2025 LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data IJCAI 2025 Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail AAAI 2025