Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Published: Jun 1, 2014
Abstract
Object detection performance, as measured on the canonical PASCAL VOC dataset, has plateaued in the last few years. The best-performing methods are complex ensemble systems that typically combine multiple low-level image features with high-level context. In this paper, we propose a simple and scalable detection algorithm that improves mean average precision (mAP) by more than 30% relative to the previous best result on VOC 2012 -- achieving a...
Paper Details
Title
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Published Date
Jun 1, 2014
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