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Object Specific Deep Feature for Face Detection
Xianxu HOU Jiasong ZHU Ke SUN Linlin SHEN Guoping QIU
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2018/05/01
Online ISSN: 1745-1361
Type of Manuscript: Special Section PAPER (Special Section on Machine Vision and its Applications)
Category: Machine Vision and its Applications
deep feature, convolutional neural network, object specific channel, face detection,
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Motivated by the observation that certain convolutional channels of a Convolutional Neural Network (CNN) exhibit object specific responses, we seek to discover and exploit the convolutional channels of a CNN in which neurons are activated by the presence of specific objects in the input image. A method for explicitly fine-tuning a pre-trained CNN to induce object specific channel (OSC) and systematically identifying it for the human faces has been developed. In this paper, we introduce a multi-scale approach to constructing robust face heatmaps based on OSC features for rapidly filtering out non-face regions thus significantly improving search efficiency for face detection. We show that multi-scale OSC can be used to develop simple and compact face detectors in unconstrained settings with state of the art performance.