A Lightweight Multidimensional Self-attention Network for Fine-Grained Action Recognition

Hao Liu; Shenglan Liu; Lin Feng; Lianyu Hu; Xiang Li; Heyu Fu

doi:10.1007/978-3-030-92270-2_49

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A Lightweight Multidimensional Self-attention Network for Fine-Grained Action Recognition

Hao Liu Shenglan Liu Lin Feng Lianyu Hu Xiang Li Heyu Fu

Year: 2021 Lecture notes in computer science Pages: 573-584 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-92270-2_49

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Keywords:

Computer science Discriminative model Overhead (engineering) Task (project management) Artificial intelligence RGB color model Feature (linguistics) Computation Pattern recognition (psychology) Machine learning Algorithm

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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

A Lightweight Multidimensional Self-attention Network for Fine-Grained Action Recognition

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