A carefully engineered pipeline of 2D grounding, 3D tracking, proposal merging, and Alpha-CLIP classification with a standardized similarity filter achieves state-of-the-art open-vocabulary 3D instance segmentation on major indoor benchmarks.
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
-
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation
A carefully engineered pipeline of 2D grounding, 3D tracking, proposal merging, and Alpha-CLIP classification with a standardized similarity filter achieves state-of-the-art open-vocabulary 3D instance segmentation on major indoor benchmarks.