A multi-branch separable convolution neural network for pedestrian attribute recognition
Video surveillance applications have made great strides in making the world a safer place. Extracting visual attributes from a scene, such as the type of shoes, the type of clothing, carrying any object or not, or wearing any accessory etc., is a challenging problem and an efficient solution holds t...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2020-03-01
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Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844020304084 |