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• W3097241193 abstract "Face detection is a fundamental and extensively studied problem in computer vision. It is the first and primary step for many applications which include face recognition/verification, face tracking, facial behavior analysis, and many other applications. A major challenge for face detector is to detect faces in unconstrained conditions (also called in-the-wild) such as variations in pose, illumination, scale, expressions, makeup, and occlusion. Recently, accuracy and performance of face detectors have improved tremendously because of the use of Convolutional Neural Network (CNN). This survey paper focuses on recent advancements in face detection techniques based on Convolution Neural Network and categorization of CNN face detector. Paper concludes by identifying future directions of the field." @default.
• W3097241193 created "2020-11-09" @default.
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• W3097241193 date "2020-11-05" @default.
• W3097241193 modified "2023-09-23" @default.
• W3097241193 title "An Overview of Recent Developments in Convolutional Neural Network (CNN) Based Face Detector" @default.
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• W3097241193 doi "https://doi.org/10.1007/978-981-15-7907-3_19" @default.
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