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Generic Object Detection with Dense Neural Patterns and Regionlets.
BMVC, (2014)
EI
Abstract
This paper addresses the challenge of establishing a bridge between deep convolutional neural networks and conventional object detection frameworks for accurate and efficient generic object detection. We introduce Dense Neural Patterns, short for DNPs, which are dense local features derived from discriminatively trained deep convolution...More
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