A dual-branch adapter module called LCA with contrast maps and pairwise training on a Unity synthetic dataset improves SAM's instance segmentation performance across lighting variations.
In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Lighting-aware Unified Model for Instance Segmentation
A dual-branch adapter module called LCA with contrast maps and pairwise training on a Unity synthetic dataset improves SAM's instance segmentation performance across lighting variations.