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Feb, 2015
segDeepM: 利用深度神经网络中的分割和上下文,实现物体检测
segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection
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Yukun Zhu, Raquel Urtasun, Ruslan Salakhutdinov, Sanja Fidler
TL;DR
本文提出了一种基于目标分割来提高目标检测准确性的方法,经过实验在 PASCAL VOC 2010 数据集上相对于 R-CNN 基线与当前最先进的方法,准确度分别提高了 4.1% 和 3.4%。
Abstract
In this paper, we propose an approach that exploits
object segmentation
in order to improve the
accuracy
of
object detection
. We frame the
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