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Anomaly Detection

907 directly classified papers

Papers per year

Papers

Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection AAAI 2021
CamouFinder: Finding Camouflaged Instances in Images AAAI 2021
ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis CVPR 2021
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain CVPR 2021
Lips Don't Lie: A Generalisable and Robust Approach To Face Forgery Detection CVPR 2021
Face Forgery Detection by 3D Decomposition CVPR 2021
Glancing at the Patch: Anomaly Localization With Global and Local Feature Comparison CVPR 2021
Learning Normal Dynamics in Videos With Meta Prototype Network CVPR 2021
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection CVPR 2021
Learning Unsupervised Metaformer for Anomaly Detection ICCV 2021
Likelihood-free Out-of-Distribution Detection with Invertible Generative Models IJCAI 2021
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness NIPS 2021
Representative Forgery Mining for Fake Face Detection CVPR 2021
MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes CVPR 2021
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets EMNLP 2021
Consensus Maximisation Using Influences of Monotone Boolean Functions CVPR 2021
Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection CVPR 2021
Face Forensics in the Wild CVPR 2021
A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection CVPR 2021
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset ACL 2021
Multi-class Novelty Detection Using Mix-up Technique WACV 2020
Graph Embedded Pose Clustering for Anomaly Detection CVPR 2020
Two-branch Recurrent Network for Isolating Deepfakes in Videos ECCV 2020
CNN-Generated Images Are Surprisingly Easy to Spot... for Now CVPR 2020
Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection CVPR 2020