anomaly segmentation

A Multi-Agent Diffusion Approach for MRI Anomaly Segmentation via Modality-Specific LoRA Specialization WACV 2026 ClimaOoD: Improving Anomaly Segmentation via Physically Realistic Synthetic Data CVPR 2026 DE-CLIP: Few-Shot Anomaly Detection via Difference-Guided Embedding Editing ACL 2026 Defect Cue-Preserved Structural Feature Refinement for Few-Shot Anomaly Detection CVPR 2026 FlowCLAS: Enhancing Normalizing Flow-Based Anomaly Segmentation Via Contrastive Learning WACV 2026 Learning to Identify Out-of-Distribution Objects for 3D LiDAR Anomaly Segmentation CVPR 2026 Medic-AD: Towards Medical Vision-Language Model's Clinical Intelligence CVPR 2026 Sea-CLIP: Mining Semantic-Aware Representations for Few-Shot Anomaly Detection with CLIP WACV 2026 3CAD: A Large-Scale Real-World 3C Product Dataset for Unsupervised Anomaly Detection AAAI 2025 Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models CVPR 2025 Beyond Pixel Uncertainty: Bounding the OoD Objects in Road Scenes ICCV 2025 DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup ICCV 2025 DriftRemover: Hybrid Energy Optimizations for Anomaly Images Synthesis and Segmentation IJCAI 2025 Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection AAAI 2025 Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning AAAI 2025 SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning ICCV 2025 Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet WACV 2025 Spotting the Unexpected (STU): A 3D LiDAR Dataset for Anomaly Segmentation in Autonomous Driving CVPR 2025 Towards Accurate Unified Anomaly Segmentation WACV 2025 Towards Few-Shot Training-Free Anomaly Sound Detection Interspeech 2025 AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection ICLR 2024 MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning NeurIPS 2024 MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images ICLR 2024 Open-World Semantic Segmentation Including Class Similarity CVPR 2024 PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection NeurIPS 2024