A feature refinement module that aggregates multi-stage features with non-local attention improves light-weight semantic segmentation, reaching 80.4% mIoU on Cityscapes at 214.82 GFLOPs.
Real-time fusion network for RGB-D semantic segmentation incorporating unexpected obstacle detection for road-driving images,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
A feature refinement module for light-weight semantic segmentation network
A feature refinement module that aggregates multi-stage features with non-local attention improves light-weight semantic segmentation, reaching 80.4% mIoU on Cityscapes at 214.82 GFLOPs.