An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos

Lignende værker

• Vision Transformer and Deep Sequence Learning for Human Activity Recognition in Surveillance Videos
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• Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework
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• Deep anomaly detection through visual attention in surveillance videos
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• TBRNet: Two-Stream BiLSTM Residual Network for Video Action Recognition
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• Lightweight Real-Time Anomaly Detection and Prediction for Surveillance Videos Using a Self-Supervised Hybrid Autoencoder and Dynamic Graph CNN-LSTM Framework
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  Udgivet: (2025-01-01)