Out-of-Distribution Detection

Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models CVPR 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 CUETLuminaries0227 at SemEval-2026 Task 13: Invariance-Oriented Representation Learning for Robust AI-Generated Code Detection SemEval 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 Enhancing Out-of-Distribution Detection with Extended Logit Normalization CVPR 2026 Geometry-driven OOD Detectors Are Class-Incremental Learners CVPR 2026 Image-based Outlier Synthesis With Training Data CVPR 2026 KLIP: Localized Distribution Shift Detection via KL-Divergence with Diffusion Priors in Inverse Problems CVPR 2026 Knowing When Not to Answer: Lightweight KB-Aligned OOD Detection for Safe RAG ACL 2026 Learning Latent Concepts for Detecting Out-of-Distribution Objects CVPR 2026 Learning to Identify Out-of-Distribution Objects for 3D LiDAR Anomaly Segmentation CVPR 2026 Mind the Way You Select Negative Texts: Pursuing the Distance Consistency in OOD Detection with VLMs CVPR 2026 Mitigating Simplicity Bias in OOD Detection through Object Co-occurrence Analysis CVPR 2026 MIUN BiasPatrol at SemEval-2026 Task 13: Why TF-IDF can Beat Transformers for OOD Code Detection SemEval 2026 Neural Distribution Prior for LiDAR Out-of-Distribution Detection CVPR 2026 PAF: Perturbation-Aware Filtering for Open-Set Semi-Supervised Learning CVPR 2026 ProOOD: Prototype-Guided Out-of-Distribution 3D Occupancy Prediction CVPR 2026 R2-Seg: Training-Free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection CVPR 2026 SimLBR: Learning to Detect Fake Images by Learning to Detect Real Images CVPR 2026 Sparsity as a Key: Unlocking New Insights from Latent Structures for Out-of-Distribution Detection CVPR 2026 The Invisible Gorilla Effect in Out-of-distribution Detection CVPR 2026