By regressing Gaussian Cholesky parameters directly, GauCho removes oriented-box angular boundary effects and matches or improves AP against OBB heads on DOTA, HRSC, and UCAS-AOD.
Beyond bounding-box: Convex- hull feature adaptation for oriented and densely packed ob- ject detection
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
unclear 1representative citing papers
citing papers explorer
-
GauCho: Gaussian Distributions with Cholesky Decomposition for Oriented Object Detection
By regressing Gaussian Cholesky parameters directly, GauCho removes oriented-box angular boundary effects and matches or improves AP against OBB heads on DOTA, HRSC, and UCAS-AOD.