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YinYang-Net: Complementing Face and Body Information for Wild Gender Recognition
Soft biometrics inference in surveillance scenarios is a topic of interest for various applications, particularly in security-related areas. However, soft biometric analysis is not extensively reported in wild conditions. In particular, previous works on gender recognition report their results in face datasets, with relatively good image quality and frontal poses. Given the uncertainty of the availability of the facial region in wild conditions, we consider that these methods are not adequatedoi:10.1109/access.2022.3157857 fatcat:wzgr32exarfqvbaixl3yyhk6sq