Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation

This paper presents a method for generating large-scale datasets to improve class-agnostic video segmentation across robots with different form factors. Specifically, we consider the question of whether video segmentation models trained on generic segmentation data could be more effective for partic...

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Bibliographische Detailangaben

Hauptverfasser:	Opipari, Anthony, Krishnan, Aravindhan K, Gayaka, Shreekant, Sun, Min, Kuo, Cheng-Hao, Sen, Arnie, Jenkins, Odest Chadwicke
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Robotics
Online-Zugang:	Volltext bestellen
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