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- W2237226013 abstract "Although many methods have been developed for holistic face detection, detecting partial faces hasn't been a successful endeavor yet. Partial faces frequently appear in real worldenvironments like in surveillance videos and are quite difficult to detect. Recently, CNNs have shown very promising results with object detection in PASCAL VOC challenges. We propose an approach to detect partial faces along with holistic faces (frontal and profile views) present in natural scenarios. In the proposed method, we use CNN for feature extraction and representation. The drawback of CNN being computationally expensive is dealt with Selective Search using Segmentation, which reduces the search space to a great extent. We used FDDB Benchmarking for evaluating our method and the results were near the best results of all recent methods in the face detection domain." @default.
- W2237226013 created "2016-06-24" @default.
- W2237226013 creator A5086588742 @default.
- W2237226013 date "2015-01-01" @default.
- W2237226013 modified "2023-09-24" @default.
- W2237226013 title "Partial Face Detection using Regions with Convolutional Neural Networks" @default.
- W2237226013 hasPublicationYear "2015" @default.
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