A model-agreement metric combined with depth statistics finds real aerial scenes easier for vision transformers than synthetic ones, and quantifies the gap between the two domains.
8 Alina MARCU 1 Datasets details
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
Quantifying the synthetic and real domain gap in aerial scene understanding
A model-agreement metric combined with depth statistics finds real aerial scenes easier for vision transformers than synthetic ones, and quantifies the gap between the two domains.