BriefGPT.xyz
Dec, 2014
深度场景卷积神经网络中浮现的目标检测器
Object Detectors Emerge in Deep Scene CNNs
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Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, Antonio Torralba
TL;DR
本文讨论了利用卷积神经网络进行场景分类的方法，通过该方法可以自动学习场景中有意义的对象探测器，从而在单个前向传递中实现场景识别和对象定位。
Abstract
With the success of new
computational architectures
for visual processing, such as
convolutional neural networks
(CNN) and access to image databases with millions of labeled examples (e.g., ImageNet, Places), the
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