Learned adaptive downsampling for semantic segmentation that prioritizes locations near semantic boundaries to improve the accuracy-efficiency trade-off over uniform sampling.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
Learned adaptive downsampling for semantic segmentation that prioritizes locations near semantic boundaries to improve the accuracy-efficiency trade-off over uniform sampling.