GFA-Net: Geometry-Focused Attention Network for Six Degrees of Freedom Object Pose Estimation.

Lin S, Yu J, Su P, Xue W, Qin Y, Fu L, Wen J, Huang H

DOI: 10.3390/s25010168
Published: 2024 Dec 31
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s25010168,
  title = {GFA-Net: Geometry-Focused Attention Network for Six Degrees of Freedom Object Pose Estimation.},
  author = {Lin S and Yu J and Su P and Xue W and Qin Y and Fu L and Wen J and Huang H},
  year = {2024},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s25010168},
  url = {https://doi.org/10.3390/s25010168}
}

RIS

TY  - JOUR
TI  - GFA-Net: Geometry-Focused Attention Network for Six Degrees of Freedom Object Pose Estimation.
AU  - Lin S
AU  - Yu J
AU  - Su P
AU  - Xue W
AU  - Qin Y
AU  - Fu L
AU  - Wen J
AU  - Huang H
PY  - 2024
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s25010168
UR  - https://doi.org/10.3390/s25010168
ER  -

APA

S, L., J, Y., P, S., W, X., Y, Q., L, F., J, W., & H, H. (2024). GFA-Net: Geometry-Focused Attention Network for Six Degrees of Freedom Object Pose Estimation.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25010168

Source records

pubmed · retrieved 2026-09-25T00:53:41.558Z