← Analysis
Computer Vision › Analysis ›

Anomaly Detection

907 directly classified papers

Papers per year

Papers

Dual Task Learning by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect Matches CVPR 2022
DeepFake Disrupter: The Detector of DeepFake Is My Friend CVPR 2022
Proactive Image Manipulation Detection CVPR 2022
Detecting Deepfakes With Self-Blended Images CVPR 2022
Protecting Celebrities From DeepFake With Identity Consistency Transformer CVPR 2022
Density-driven Regularization for Out-of-distribution Detection NIPS 2022
Out-of-Distribution Detection via Conditional Kernel Independence Model NIPS 2022
Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection AAAI 2022
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes AAAI 2022
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation COLING 2022
FF-Net: An End-to-end Feature-Fusion Network for Double JPEG Detection and Localization ACML 2022
Discrete Neural Representations for Explainable Anomaly Detection WACV 2022
Rethinking Video Anomaly Detection - A Continual Learning Approach WACV 2022
A Modular and Unified Framework for Detecting and Localizing Video Anomalies WACV 2022
Multi-Attentional Deepfake Detection CVPR 2021
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach WACV 2021
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering AAAI 2021
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection ICCV 2021
Learning Self-Consistency for Deepfake Detection ICCV 2021
Divide-and-Assemble: Learning Block-Wise Memory for Unsupervised Anomaly Detection ICCV 2021
Dual Reweighting Domain Generalization for Face Presentation Attack Detection IJCAI 2021
Weakly-Supervised Video Anomaly Detection With Robust Temporal Feature Magnitude Learning ICCV 2021
BioFors: A Large Biomedical Image Forensics Dataset ICCV 2021
Triggering Failures: Out-of-Distribution Detection by Learning From Local Adversarial Attacks in Semantic Segmentation ICCV 2021
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data ICCV 2021