Learned vs. Hand-Crafted Features for Pedestrian Gender Recognition
Author:
Affiliation:
1. Orange Labs, Cesson-Sevigne, France
2. Eurecom, Biot, France
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2733373.2806332
Reference19 articles.
1. Gender recognition from body
2. Full body image feature representations for gender profiling
3. Histograms of Oriented Gradients for Human Detection
4. Pedestrian Attribute Recognition At Far Distance
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