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title
FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects
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FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects
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2026-03-03 11:53:27
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FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects More Research CenterSnap ShaPO FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects International Conference on Robotics and Automation (ICRA), 2024 Mayank Lunayach 1 , Sergey Zakharov 2 , Dian Chen 2 , Rares Ambrus 2 , Zsolt Kira 1 Muhammad Zubair Irshad 1 1 Georgia Tech, 2 Toyota Research Institute Paper arXiv Video We present FSD: a fast self-supervised categorical 6D pose and size estimation and shape reconstruction framework. Our method is a fully feed-forward approach that doesn’t require any real-world 3D labels such as meshes or 6D pose annotations and it does not necessitate inference time optimization. Abstract In this work, we address the challenging task of 3D object recognition...
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