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Attention-based Temporal Weighted Convolutional Neural Network for Action Recognition
[article]
2018
arXiv
pre-print
Research in human action recognition has accelerated significantly since the introduction of powerful machine learning tools such as Convolutional Neural Networks (CNNs). However, effective and efficient methods for incorporation of temporal information into CNNs are still being actively explored in the recent literature. Motivated by the popular recurrent attention models in the research area of natural language processing, we propose the Attention-based Temporal Weighted CNN (ATW), which
arXiv:1803.07179v1
fatcat:bpiocesvb5bsvfqwkanqolr2ry