Supervised Spatial Transformer Networks for Attention Learning in Fine-grained Action Recognition

Dichao Liu; Yu Wang; Jien Kato

doi:10.5220/0007257800002108

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JOURNAL ARTICLE

Supervised Spatial Transformer Networks for Attention Learning in Fine-grained Action Recognition

Dichao Liu Yu Wang Jien Kato

Year: 2019 Pages: 311-318

DOI: 10.5220/0007257800002108

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Keywords:

Computer science Action recognition Transformer Artificial intelligence Machine learning Pattern recognition (psychology) Speech recognition Engineering Electrical engineering Voltage

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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

Brain Tumor Detection and Classification

Life Sciences → Neuroscience → Neurology

Supervised Spatial Transformer Networks for Attention Learning in Fine-grained Action Recognition

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