Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition

Masashi Hatano; Ryo Hachiuma; Ryo Fujii; Hideo Saitô

doi:10.1007/978-3-031-73414-4_11

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Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition

Masashi Hatano Ryo Hachiuma Ryo Fujii Hideo Saitô

Year: 2024 Lecture notes in computer science Pages: 182-199 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-73414-4_11

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Keywords:

Computer science Action recognition Shot (pellet) Domain (mathematical analysis) Artificial intelligence Action (physics) Computer vision Human–computer interaction Class (philosophy) Mathematics

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5.41

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0.95

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Is in top 10%

Citation History

Topics

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition

Metrics

Citation History

Topics

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