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1FacenessNet: Face Detection through Deep Facial Part ResponsesarXiv:1701.08393v1 cs. CV 29 Jan 2017Shuo Yang, Ping Duo, Chen Change Low, Member, IEEE and Xiaomi Tang, Fellow, IEEE Abstract propose
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What is faceness-net face detection through?
Faceness-net face detection is through deep learning algorithms that detect faces in images or videos.
Who is required to file faceness-net face detection through?
Researchers, developers, or companies working on facial recognition technology may be required to file faceness-net face detection.
How to fill out faceness-net face detection through?
You can fill out faceness-net face detection by providing information about the algorithm used, samples of images for testing, and accuracy rates.
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The purpose of faceness-net face detection is to accurately detect and recognize human faces in various applications.
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Information such as the methodology used, dataset sources, performance metrics, and potential bias must be reported on faceness-net face detection.
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