DBF‐Net: A Deep Bidirectional Fusion Network for 6D Object Pose Estimation with Sparse Linear Transformer

DBF‐Net: A Deep Bidirectional Fusion Network for 6D Object Pose Estimation with Sparse Linear Transformer

6D object pose estimation, a critical component in computer vision and robotics domains, involves determining the 3D location and orientation of an object relative to a canonical reference frame. Recently, the widespread proliferation of RGB‐D sensors has precipitated a marked increase in interest t...

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Bibliographic Details
Main Authors: Xuan Fan, Tao An, Hongbo Gao, Tao Xie, Lijun Zhao, Ruifeng Li
Format: Article
Language:English
Published: Wiley 2025-08-01
Series:Advanced Intelligent Systems
Subjects:
6D object pose estimations
deep learning
feature representations
RGB‐D
transformers
Online Access:https://doi.org/10.1002/aisy.202401001
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https://doi.org/10.1002/aisy.202401001

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