CrossWeaver introduces MIB and SAF modules to enable flexible, reliability-aware cross-modal interaction and fusion, achieving SOTA multimodal semantic segmentation with minimal parameters and generalization to unseen modality sets.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
HistoSeg++ enhances Nested-UNet with inner/outer attention, channel recalibration, and edge-aware loss to claim superior generalization on biomarker segmentation across three benchmark datasets.
citing papers explorer
-
CrossWeaver: Cross-modal Weaving for Arbitrary-Modality Semantic Segmentation
CrossWeaver introduces MIB and SAF modules to enable flexible, reliability-aware cross-modal interaction and fusion, achieving SOTA multimodal semantic segmentation with minimal parameters and generalization to unseen modality sets.
-
HistoSeg++: Delving deeper with attention and multiscale feature fusion for biomarker segmentation
HistoSeg++ enhances Nested-UNet with inner/outer attention, channel recalibration, and edge-aware loss to claim superior generalization on biomarker segmentation across three benchmark datasets.