Anomaly Detection
975 papers
Papers per year
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4
7
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55
83
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249
98
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Papers
Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation
CVPR 2025
DZAD: Diffusion-based Zero-shot Anomaly Detection
AAAI 2025
EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights
CVPR 2025
Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection
ICCV 2025
Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection
COLING 2025
Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks
IJCAI 2025
Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation
ICCV 2025
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection
CVPR 2025
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment
CVPR 2025
Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing
AAAI 2025
FakeRadar: Probing Forgery Outliers to Detect Unknown Deepfake Videos
ICCV 2025
FE-CLIP: Frequency Enhanced CLIP Model for Zero-Shot Anomaly Detection and Segmentation
ICCV 2025
Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt
AAAI 2025
Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection
AAAI 2025
FIND: Few-Shot Anomaly Inspection with Normal-Only Multi-Modal Data
ICCV 2025
Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects using Prototypes
WACV 2025
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection
ICCV 2025
FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error
CVPR 2025
FlexUOD: The Answer to Real-world Unsupervised Image Outlier Detection
CVPR 2025
Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models
CVPR 2025
ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection
ICCV 2025
FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing
CVPR 2025
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data
WACV 2025
G2SF: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection
ICCV 2025
Gazing Into Missteps: Leveraging Eye-Gaze for Unsupervised Mistake Detection in Egocentric Videos of Skilled Human Activities
CVPR 2025