Authors
Anelia Angelova, Alex Krizhevsky, Vincent Vanhoucke, Abhijit Ogale, Dave Ferguson
Publication date
2015
Description
Abstract We present a new real-time approach to object detection that exploits the efficiency
of cascade classifiers with the accuracy of deep neural networks. Deep networks have been
shown to excel at classification tasks, and their ability to operate on raw pixel input without
the need to design special features is very appealing. However, deep nets are notoriously
slow at inference time. In this paper, we propose an approach that cascades deep nets and
fast features, that is both extremely fast and extremely accurate. We apply it to the ...
of cascade classifiers with the accuracy of deep neural networks. Deep networks have been
shown to excel at classification tasks, and their ability to operate on raw pixel input without
the need to design special features is very appealing. However, deep nets are notoriously
slow at inference time. In this paper, we propose an approach that cascades deep nets and
fast features, that is both extremely fast and extremely accurate. We apply it to the ...
Total citations
Scholar articles
A Angelova, A Krizhevsky, V Vanhoucke, A Ogale… - 2015
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