Benchmarking parts based face processing in-the-wild for gender recognition and head pose estimation

Flávio H. de Bittencourt Zavan
Flávio H. de Bittencourt Zavan

Pattern Recognition Letters, pp. 104-110, 2019.

Cited by: 3|Views14
EI

Abstract:

•Automatic pipeline, CNN and parts based, optimized for in-the-wild face processing.•Explores the effects of two detectors and five architecture families on the pipeline.•Evaluated on two face processing tasks: head pose estimation and gender recognition.•Explores the availability and the role each part plays in challenging environments.•...More

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