Two-Stream Part-Based Deep Representation for Human Attribute Recognition
ICB, pp. 90-97, 2018.
Recognizing human attributes in unconstrained environments is a challenging computer vision problem. State-of-the-art approaches to human attribute recognition are based on convolutional neural networks (CNNs). The de facto practice when training these CNNs on a large labeled image dataset is to take RGB pixel values of an image as input ...More
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