conftrace_

video anomaly detection

108 papers

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Also known as

VAD

Co-occurring keywords

weakly supervised learning (1328) video understanding (1658) multiple instance learning (227) anomaly localization (37) anomaly detection (747) multimodal learning (4645) representation learning (6206) large language model (13587) action recognition (960) unsupervised learning (3264)

Papers

Learning Event-Relevant Factors for Video Anomaly Detection AAAI 2023
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection AAAI 2023
Normality Guided Multiple Instance Learning for Weakly Supervised Video Anomaly Detection WACV 2023
Prompt-Guided Zero-Shot Anomaly Action Recognition Using Pretrained Deep Skeleton Features CVPR 2023
FastAno: Fast Anomaly Detection via Spatio-Temporal Patch Transformation WACV 2022
Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection AAAI 2022
Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection AAAI 2022
A Causal Inference Look at Unsupervised Video Anomaly Detection AAAI 2022
Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement CVPR 2022
A Modular and Unified Framework for Detecting and Localizing Video Anomalies WACV 2022
Rethinking Video Anomaly Detection - A Continual Learning Approach WACV 2022
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection CVPR 2022
Generative Cooperative Learning for Unsupervised Video Anomaly Detection CVPR 2022
Multi-Branch Neural Networks for Video Anomaly Detection in Adverse Lighting and Weather Conditions WACV 2022
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection CVPR 2022
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning CVPR 2021
Weakly-Supervised Video Anomaly Detection With Robust Temporal Feature Magnitude Learning ICCV 2021
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction ICCV 2021
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection CVPR 2021
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning AISTATS 2021
Dance With Self-Attention: A New Look of Conditional Random Fields on Anomaly Detection in Videos ICCV 2021
Learning Normal Dynamics in Videos With Meta Prototype Network CVPR 2021
Appearance-Motion Memory Consistency Network for Video Anomaly Detection AAAI 2021
Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection CVPR 2020
Learning a distance function with a Siamese network to localize anomalies in videos WACV 2020