6D-ViT : Category-Level 6D Object Pose Estimation via Transformer-Based Instance Representation Learning

This paper presents 6D vision transformer (6D-ViT), a transformer-based instance representation learning network suitable for highly accurate category-level object pose estimation based on RGB-D images. Specifically, a novel two-stream encoder-decoder framework is dedicated to exploring complex and...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 15., Seite 6907-6921
1. Verfasser:	Zou, Lu (VerfasserIn)
Weitere Verfasser:	Huang, Zhangjin, Gu, Naijie, Wang, Guoping
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2022
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article