SGCDet combines per-view 3D deformable attention with box-supervised sparse volume refinement to achieve state-of-the-art multi-view indoor 3D object detection without ground-truth scene geometry.
ScanNet: Richly-annotated 3d reconstructions of indoor scenes
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
2025 1verdicts
CONDITIONAL 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction
SGCDet combines per-view 3D deformable attention with box-supervised sparse volume refinement to achieve state-of-the-art multi-view indoor 3D object detection without ground-truth scene geometry.