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Found 4 papers, 3 papers with code
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Deep Learning is currently used to perform multiple tasks, such as object recognition, face recognition, and natural language processing.
WASD: A Wilder Active Speaker Detection Dataset
The results show that: 1) AVA trained models maintain a state-of-the-art performance in WASD Easy group, while underperforming in the Hard one, showing the 2) similarity between AVA and Easy data; and 3) training in WASD does not improve models performance to AVA levels, particularly for audio impairment and surveillance settings.
YinYang-Net: Complementing Face and Body Information for Wild Gender Recognition
To overcome these limitations, we: 1) present frontal and wild face versions of three well-known surveillance datasets; and 2) propose YinYang-Net (YY-Net), a model that effectively and dynamically complements facial and body information, which makes it suitable for gender recognition in wild conditions.
Is Gender "In-the-Wild" Inference Really a Solved Problem?
Soft biometrics analysis is seen as an important research topic, given its relevance to various applications.
