BriefGPT.xyz
Dec, 2016
基于形状概念的深度监督算法用于考虑遮挡的三维物体分割
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing
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Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager...
TL;DR
本研究中,我们利用深度卷积神经网络架构在2D图像和3D空间中定位语义部件并推断它们的可见性状态,其利用合成数据和模拟的遮挡情况训练网络,并表明了其在现实图像基准测试中具有最先进的性能和有效的迁移知识。
Abstract
monocular 3d object parsing
is highly desirable in various scenarios including occlusion reasoning and holistic scene interpretation. We present a deep
convolutional neural network
(CNN) architecture to localize
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