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Aug, 2018
SAN: 多尺度目标检测中卷积特征之间的关系学习
SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection
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Yonghyun Kim, Bong-Nam Kang, Daijin Kim
TL;DR
提出了一种尺度感知网络(SAN),将卷积特征从不同的尺度映射到尺度不变的子空间,使基于CNN检测方法更具鲁棒性。该方法有效地减少了尺度空间内的特征差异,可以应用于许多基于CNN的检测方法中,提高检测精度并略微增加计算时间。
Abstract
Most of the recent successful methods in accurate
object detection
build on the
convolutional neural networks
(CNN). However, due to the lack of
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