Transductive Zero-Shot Action Recognition via Visually Connected Graph Convolutional Networks
IEEE transactions on neural networks and learning systems, 2020.
With the explosive growth of action categories, zero-shot action recognition aims to extend a well-trained model to novel/unseen classes. To bridge the large knowledge gap between seen and unseen classes, in this brief, we visually associate unseen actions with seen categories in a visually connected graph, and the knowledge is then trans...More
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