Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models
Video Anomaly Detection (VAD) serves as a pivotal technology in the intelligent surveillance
systems, enabling the temporal or spatial identification of anomalous events within videos …
systems, enabling the temporal or spatial identification of anomalous events within videos …
Deep learning for video anomaly detection: A review
Video anomaly detection (VAD) aims to discover behaviors or events deviating from the
normality in videos. As a long-standing task in the field of computer vision, VAD has …
normality in videos. As a long-standing task in the field of computer vision, VAD has …
Self-cooperation knowledge distillation for novel class discovery
Abstract Novel Class Discovery (NCD) aims to discover unknown and novel classes in an
unlabeled set by leveraging knowledge already learned about known classes. Existing …
unlabeled set by leveraging knowledge already learned about known classes. Existing …
Towards Multimodal Human Intention Understanding Debiasing via Subject-Deconfounding
Multimodal intention understanding (MIU) is an indispensable component of human
expression analysis (eg, sentiment or humor) from heterogeneous modalities, including …
expression analysis (eg, sentiment or humor) from heterogeneous modalities, including …
Sampling to distill: Knowledge transfer from open-world data
Data-Free Knowledge Distillation (DFKD) is a novel task that aims to train high-performance
student models using only the pre-trained teacher network without original training data …
student models using only the pre-trained teacher network without original training data …
Deep learning for abnormal human behavior detection in surveillance videos—A survey
Detecting abnormal human behaviors in surveillance videos is crucial for various domains,
including security and public safety. Many successful detection techniques based on deep …
including security and public safety. Many successful detection techniques based on deep …
Memory-enhanced appearance-motion consistency framework for video anomaly detection
Modern network communication systems extensively utilize video data for various
applications, creating a pressing need for efficient Video Anomaly Detection (VAD) …
applications, creating a pressing need for efficient Video Anomaly Detection (VAD) …
Memory-enhanced spatial-temporal encoding framework for industrial anomaly detection system
The development of modern manufacturing has raised greater demands on the accuracy,
response speed, and operating cost of industrial accident warnings. Compared to …
response speed, and operating cost of industrial accident warnings. Compared to …
De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts
Abstract Data-Free Knowledge Distillation (DFKD) is a promising task to train high-
performance small models to enhance actual deployment without relying on the original …
performance small models to enhance actual deployment without relying on the original …
Asynchronous Multimodal Video Sequence Fusion via Learning Modality-Exclusive and-Agnostic Representations
Understanding human intentions (eg, emotions) from videos has received considerable
attention recently. Video streams generally constitute a blend of temporal data stemming …
attention recently. Video streams generally constitute a blend of temporal data stemming …