Anomaly Detection
975 papers
Papers per year
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Papers
A Bias-Free Training Paradigm for More General AI-generated Image Detection
CVPR 2025
ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs
IJCAI 2025
Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination
WACV 2025
Adaptive Prompt Learning via Gaussian Outlier Synthesis for Out-of-distribution Detection
ICCV 2025
A Dataset for Semantic Segmentation in the Presence of Unknowns
CVPR 2025
ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement
ICCV 2025
Aligned Datasets Improve Detection of Latent Diffusion-Generated Images
ICLR 2025
Aligning and Prompting Anything for Zero-Shot Generalized Anomaly Detection
AAAI 2025
Aligning Effective Tokens with Video Anomaly in Large Language Models
ICCV 2025
A Lottery Ticket Hypothesis Approach with Sparse Fine-tuning and MAE for Image Forgery Detection and Localization
AAAI 2025
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect
AAAI 2025
Anomaly Detection for People with Visual Impairments using an Egocentric 360-Degree Camera
WACV 2025
Anomaly Detection of Integrated Circuits Package Substrates Using the Large Vision Model SAIC: Dataset Construction, Methodology, and Application
ICCV 2025
AnomalyDINO: Boosting Patch-Based Few-Shot Anomaly Detection with DINOv2
WACV 2025
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
CVPR 2025
Anomize: Better Open Vocabulary Video Anomaly Detection
CVPR 2025
A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams
IJCAI 2025
Any-Resolution AI-Generated Image Detection by Spectral Learning
CVPR 2025
Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?
CVPR 2025
ASAP: Advancing Semantic Alignment Promotes Multi-Modal Manipulation Detecting and Grounding
CVPR 2025
A Semantically Impactful Image Manipulation Dataset: Characterizing Image Manipulations using Semantic Significance
WACV 2025
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance
WACV 2025
A Unified Latent Schrodinger Bridge Diffusion Model for Unsupervised Anomaly Detection and Localization
CVPR 2025
A Unified, Resilient, and Explainable Adversarial Patch Detector
CVPR 2025
Autoregressive Denoising Score Matching is a Good Video Anomaly Detector
ICCV 2025