Convolutional Channel Features For Pedestrian, Face and Edge Detection
@article{Yang2015ConvolutionalCF, title={Convolutional Channel Features For Pedestrian, Face and Edge Detection}, author={Binh Yang and Junjie Yan and Zhen Lei and S. Li}, journal={ArXiv}, year={2015}, volume={abs/1504.07339} }
In this paper, we revisit the multiple channel features approach proposed by Dollár et al. [10,11], which has shown excellent performances in various computer vision tasks. Enlightened by the ConvNets, we introduce an extended version of multiple channel features called Convolutional Channel Features (CCF), which transfers low-level features from off-the-shelf ConvNet models to feed the boosting classifiers based on decision trees. With the combination of CNN features and decision trees, CCF…
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