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 …
Stochastic video normality network for abnormal event detection in surveillance videos
Abstract Video Anomaly Detection (VAD) aims to automatically identify unexpected spatial–
temporal patterns to detect abnormal events in surveillance videos. Existing unsupervised …
temporal patterns to detect abnormal events in surveillance videos. Existing unsupervised …
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 …
DiffSkill: Improving Reinforcement Learning through diffusion-based skill denoiser for robotic manipulation
S Liu, Y Liu, L Hu, Z Zhou, Y Xie, Z Zhao, W Li… - Knowledge-Based …, 2024 - Elsevier
Abstract Although Reinforcement Learning (RL) has demonstrated impressive success in
various applications, addressing complex robotic manipulation tasks remains a formidable …
various applications, addressing complex robotic manipulation tasks remains a formidable …
Networking Systems for Video Anomaly Detection: A Tutorial and Survey
The increasing prevalence of surveillance cameras in smart cities, coupled with the surge of
online video applications, has heightened concerns regarding public security and privacy …
online video applications, has heightened concerns regarding public security and privacy …
Out of thin air: Exploring data-free adversarial robustness distillation
Adversarial Robustness Distillation (ARD) is a promising task to solve the issue of limited
adversarial robustness of small capacity models while optimizing the expensive …
adversarial robustness of small capacity models while optimizing the expensive …
Self-Cooperation Knowledge Distillation for Novel Class Discovery
Novel Class Discovery (NCD) aims to discover unknown and novel classes in an unlabeled
set by leveraging knowledge already learned about known classes. Existing works focus on …
set by leveraging knowledge already learned about known classes. Existing works focus on …
IPAD: Industrial Process Anomaly Detection Dataset
Video anomaly detection (VAD) is a challenging task aiming to recognize anomalies in
video frames, and existing large-scale VAD researches primarily focus on road traffic and …
video frames, and existing large-scale VAD researches primarily focus on road traffic and …