@inproceedings{8e4f1aafd4ee4ba1b25e816a7aadfd03,
title = "Object specific deep feature and its application to face detection",
abstract = "We present a method for exploiting object specific deep features and use face detection as a case study. 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 an object specific channel (OSC) and systematically identifying it for the human face object has been developed. Building on the basic OSC features, we introduce a multi-scale approach to constructing robust face heatmaps for rapidly filtering out non-face regions thus significantly improving search efficiency for face detection in unconstrained settings. We show that multi-scale OSC can be used to develop simple and compact face detectors with state of the art performance.",
author = "Xianxu Hou and Jiasong Zhu and Ke Sun and Linlin Shen and Guoping Qiu",
note = "Publisher Copyright: {\textcopyright} 2017 MVA Organization All Rights Reserved.; 15th IAPR International Conference on Machine Vision Applications, MVA 2017 ; Conference date: 08-05-2017 Through 12-05-2017",
year = "2017",
month = jul,
day = "19",
doi = "10.23919/MVA.2017.7986829",
language = "English",
series = "Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "173--176",
booktitle = "Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017",
address = "United States",
}