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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Bibliographic Details
Published in:IEEE transactions on image processing 2022, Vol.31, p.1-1
Main Authors: Zou, Lu, Huang, Zhangjin, Gu, Naijie, Wang, Guoping
Format: Article
Language:English
Subjects:
3D object detection
6D object pose estimation
Coders
Color imagery
Datasets
Encoders-Decoders
Image reconstruction
Multilayer perceptrons
Point cloud compression
Pose estimation
Representation learning
Shape
Solid modeling
Transformers
vision transformer
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