out-of-distribution detection

Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models CVPR 2026 Advancing Out-of-Distribution Detection Across Diverse Scenarios AAAI 2026 A Novel Fine-Tuned CLIP-OOD Detection Method with Double Loss Constraint Through Optimal Transport Semantic Alignment AAAI 2026 ANTS: Adaptive Negative Textual Space Shaping for OOD Detection via Test-Time MLLM Understanding and Reasoning CVPR 2026 Back to Source: Open-Set Continual Test-Time Adaptation via Domain Compensation CVPR 2026 Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance CVPR 2026 Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios? AAAI 2026 Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts AAAI 2026 Bypassing the Transport Plan: Dynamic Reweighting for Out-of-Distribution Detection with Optimal Transport CVPR 2026 Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes? WACV 2026 CheXmask-U: Quantifying uncertainty in landmark-based anatomical segmentation for X-ray images MIDL 2026 ClimaOoD: Improving Anomaly Segmentation via Physically Realistic Synthetic Data CVPR 2026 ClusterMine: Robust Label-Free Visual Out-Of-Distribution Detection via Concept Mining from Text Corpora WACV 2026 Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models AAAI 2026 Collapse-Aware Regularization for Reliable Reasoning Under Distribution Shift UAI 2026 Continual Out-of-Distribution Detection with Analytic Neural Collapse AAAI 2026 COODetect at SemEval-2026 Task 13: Unsupervised Latent Domain Adaptation for Out-of-Distribution AI Code Detection SemEval 2026 Crash2DocAI: Automated Integration of Post-Crash Car Part Images into Technical Reports WACV 2026 Cross-modal Proxy Evolving for OOD Detection with Vision-Language Models AAAI 2026 CUETLuminaries0227 at SemEval-2026 Task 13: Invariance-Oriented Representation Learning for Robust AI-Generated Code Detection SemEval 2026 Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting WACV 2026 Detecting Out of Distribution Samples using Class Centered Residual Energy in the Discarded PCA Subspace with Weight Alignment UAI 2026 Distributional Deep Gaussian Processes UAI 2026 DMHM: Density-aware Manifold Learning and Hybrid Mahalanobis Energy for LLMs-generated Text Detection ACL 2026 Drainage: A Unifying Framework for Addressing Class Uncertainty CVPR 2026