DUO adapts monocular 3D detectors at test time by combining a label-free conjugate focal loss for semantic uncertainty with a semantic-guided normal-field consistency loss for geometric uncertainty.
Efficient test-time adaptation of vision-language models
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
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts
DUO adapts monocular 3D detectors at test time by combining a label-free conjugate focal loss for semantic uncertainty with a semantic-guided normal-field consistency loss for geometric uncertainty.