A stereo-based 6D pose estimator using TSCA-Stereo and a cross-modal RGB-D fusion Transformer achieves 0.0419 m mean translation error and 0.8632° mean orientation error on synthetic space imagery under varied conditions.
Swiftformer: Efficient additive attention for transformer-based real-time mobile vision applications
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Cross-Modal RGB-D Fusion Transformer for 6D Pose Estimation of Non-Cooperative Spacecraft with Stereo-Derived Depth
A stereo-based 6D pose estimator using TSCA-Stereo and a cross-modal RGB-D fusion Transformer achieves 0.0419 m mean translation error and 0.8632° mean orientation error on synthetic space imagery under varied conditions.