Vision transformer attention with multi-reservoir echo state network for anomaly recognition

Keyphrases

• Vision Transformer 100%
• Anomaly Recognition 100%
• Echo State Network 100%
• Multi-reservoir 100%
• Anomalous Events 100%
• Transformer Attention 100%
• UCF-crime Dataset 66%
• Surveillance System 33%
• Temporal Domain 33%
• Spatial Data 33%
• Human Intervention 33%
• Automated System 33%
• Vandalism 33%
• Human Life 33%
• Fully-automatic 33%
• Attention Mechanism 33%
• Road Traffic Accidents 33%
• Deep Neural Network 33%
• Event Recognition 33%
• Detecting Anomalies 33%
• Surveillance Video 33%
• Resource-constrained Devices 33%
• Surveillance Environment 33%
• Human Properties 33%
• Automatic Surveillance 33%
• Pruning Strategy 33%
• Online Anomaly Detection 33%
• Filter Pruning 33%
• Geometric Median 33%
• Smart City Surveillance 33%
• Bottleneck Attention 33%
• Anomaly Classification 33%
• Instant Response 33%
• Anomaly Detection Model 33%
• Surveillance Protocol 33%
• Refined Features 33%
• Transformer Features 33%

Computer Science

• Vision Transformer 100%
• Echo State Network 100%
• Anomaly Detection 66%
• Spatial Information 33%
• Attention (Machine Learning) 33%
• Human Intervention 33%
• Deep Neural Network 33%
• Detect Anomaly 33%
• Constrained Device 33%
• surveillance video 33%
• Detected Anomaly 33%
• Smart City 33%