The Fastest Deformable Part Model for Object Detection

CVPR 2014 Junjie YanZhen LeiLongyin WenStan Z. Li

This paper solves the speed bottleneck of deformable part model (DPM), while maintaining the accuracy in detection on challenging datasets. Three prohibitive steps in cascade version of DPM are accelerated, including 2D correlation between root filter and feature map, cascade part pruning and HOG feature extraction... (read more)

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