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Fine-grained action segmentation using the semi-supervised action GAN.

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Bibliographic Details
Title: Fine-grained action segmentation using the semi-supervised action GAN.
Authors: Gammulle, Harshala1, pranali.gammulle@hdr.qut.edu.au, Denman, Simon1, s.denman@qut.edu.au, Sridharan, Sridha1, s.sridharan@qut.edu.au, Fookes, Clinton1, c.fookes@qut.edu.au
Source: Pattern Recognition; Feb2020, Vol. 98, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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