Dual‐task enhanced global–local temporal–spatial network for depression recognition from facial videos
Jinjie Shen,
Jing Wu,
Yan Xing
et al.
Abstract:SummaryIn previous studies on facial video depression recognition, although convolutional neural network (CNN) has become a mainstream method, its performance still has room for improvement due to the insufficient extraction of global and local information and the neglect of the correlation of temporal and spatial information. This paper proposes a novel dual‐task enhanced global–local temporal–spatial network (DTE‐GLTS) to enhance the extraction capability of global and local features and deepen the analysis … Show more
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