conftrace_

anomaly segmentation

29 papers

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Co-occurring keywords

anomaly detection (747) semantic segmentation (3186) vision-language model (2348) autonomous driving (1142) image segmentation (971) zero-shot learning (3650) few-shot learning (3398) few-shot anomaly detection (8) unsupervised anomaly detection (47) diffusion model (3751)

Papers

DE-CLIP: Few-Shot Anomaly Detection via Difference-Guided Embedding Editing ACL 2026
A Multi-Agent Diffusion Approach for MRI Anomaly Segmentation via Modality-Specific LoRA Specialization WACV 2026
Sea-CLIP: Mining Semantic-Aware Representations for Few-Shot Anomaly Detection with CLIP WACV 2026
FlowCLAS: Enhancing Normalizing Flow-Based Anomaly Segmentation Via Contrastive Learning WACV 2026
Spotting the Unexpected (STU): A 3D LiDAR Dataset for Anomaly Segmentation in Autonomous Driving CVPR 2025
SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning ICCV 2025
DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup ICCV 2025
Towards Accurate Unified Anomaly Segmentation WACV 2025
Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning AAAI 2025
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection AAAI 2025
Beyond Pixel Uncertainty: Bounding the OoD Objects in Road Scenes ICCV 2025
DriftRemover: Hybrid Energy Optimizations for Anomaly Images Synthesis and Segmentation IJCAI 2025
Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet WACV 2025
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
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection NIPS 2024
Open-World Semantic Segmentation Including Class Similarity CVPR 2024
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning NIPS 2024
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes AAAI 2024
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation CVPR 2023
Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors AAAI 2023
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection AAAI 2023
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection NIPS 2023
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation IJCAI 2022
SoftPatch: Unsupervised Anomaly Detection with Noisy Data NIPS 2022