BriefGPT.xyz
Oct, 2019
实时语义立体匹配
Real-Time Semantic Stereo Matching
HTML
PDF
Pier Luigi Dovesi, Matteo Poggi, Lorenzo Andraghetti, Miquel Martí, Hedvig Kjellström...
TL;DR
研究表明,语义立体匹配比独立任务能更好地了解机器人、自我导航、增强现实等领域的场景理解。本文提出了一种单一的紧凑型和轻量级架构,通过多阶段的自上而下的估算,使得在任何硬件上和任何应用中都可以获得非常快速的推理,并对特定的应用要求进行准确度和速度的权衡。
Abstract
scene understanding
is paramount in robotics, self-navigation, augmented reality, and many other fields. To fully accomplish this task, an
autonomous agent
has to infer the 3D structure of the sensed scene (to kn
→