Spatiotemporal distilled dense-connectivity network for video action recognition

Wangli Hao; Zhaoxiang Zhang

doi:10.1016/j.patcog.2019.03.005

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Spatiotemporal distilled dense-connectivity network for video action recognition

Wangli Hao Zhaoxiang Zhang

Year: 2019 Journal: Pattern Recognition Vol: 92 Pages: 13-24 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2019.03.005

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Keywords:

Computer science Block (permutation group theory) Benchmark (surveying) Artificial intelligence Generalization Pattern recognition (psychology) Motion (physics) Action recognition Feature (linguistics) Representation (politics) Convolutional neural network Action (physics) Mathematics Class (philosophy)

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Topics

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Spatiotemporal distilled dense-connectivity network for video action recognition

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