Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning

Zhekun Luo; Devin Guillory; Baifeng Shi; Wei Ke; Fang Wan; Trevor Darrell; Huijuan Xu

doi:10.1007/978-3-030-58526-6_43

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Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning

Zhekun Luo Devin Guillory Baifeng Shi Wei Ke Fang Wan Trevor Darrell Huijuan Xu

Year: 2020 Lecture notes in computer science Pages: 729-745 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-58526-6_43

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Keywords:

Computer science Maximization Artificial intelligence Action (physics) Expectation–maximization algorithm Supervised learning Pattern recognition (psychology) Machine learning Mathematical optimization Maximum likelihood Artificial neural network Mathematics Statistics

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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

Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning

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