BriefGPT.xyz
Dec, 2016
通过观察物体运动学习特征
Learning Features by Watching Objects Move
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Deepak Pathak, Ross Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan
TL;DR
本文介绍了一种基于无监督学习的视觉特征提取方法,采用运动分割技术自动从视频中得到图像分割信息进行卷积神经网络训练,结果在涉及少量目标训练样本的场景下显著优于现有无监督学习方法。
Abstract
This paper presents a novel yet intuitive approach to
unsupervised feature learning
. Inspired by the human visual system, we explore whether low-level motion-based grouping cues can be used to learn an effective
visual
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