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.
Mitigation of effects of occlusion on object recognition with deep neural networks through low-level image completion
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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.