Arbitrary-view Human Action Recognition via Novel-view Action Generation. Pattern Recogntion Journal 2021 .
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We propose a two-branch novel-view action generation approach based on auxiliary conditional GAN, which generates a novel-view action sample for arbitrary-view human action recognition. Furthermore, to narrow the representation of actions in different views, we propose a view-domain generalization model which improves the recognition performance…
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We propose a two-branch novel-view action generation approach based on auxiliary conditional GAN, which generates a novel-view action sample for arbitrary-view human action recognition. Furthermore, to narrow the representation of actions in different views, we propose a view-domain generalization model which improves the recognition performance…
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