BriefGPT.xyz
Dec, 2015
通过从真实到渲染视图的适应实现深度范例2D-3D检测
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views
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Francisco Massa, Bryan Russell, Mathieu Aubry
TL;DR
本文提出了一种基于卷积神经网络的端到端的2D-3D标本检测方法，在CAD渲染视图中实现了自然图像特征的适应以提高检测准确性，可应用于物体实例和类别检测。
Abstract
This paper presents an end-to-end
convolutional neural network
(CNN) for
2d-3d exemplar detection
. We demonstrate that the ability to adapt the features of natural images to better align with those of
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