A depth-guided, occlusion-aware refinement network with a temporal optical-flow loss slightly reduces disparity error on laparoscopic images.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images
A depth-guided, occlusion-aware refinement network with a temporal optical-flow loss slightly reduces disparity error on laparoscopic images.