Real-world scanned point clouds are far harder to classify than CAD models, and a new benchmark with a background-aware network quantifies and narrows that gap.
3dmfv: Three-dimensional point cloud classification in real- time using convolutional neural networks
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
Real-world scanned point clouds are far harder to classify than CAD models, and a new benchmark with a background-aware network quantifies and narrows that gap.