Two-Stream Part-Based Deep Representation for Human Attribute Recognition

ICB, pp. 90-97, 2018.

Cited by: 0|Bibtex|Views15|Links
EI

Abstract:

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

Code:

Data:

Your rating :
0

 

Tags
Comments