computer-vision-17
3D Object Classification
3260 papers • 126 benchmarks • 313 datasets
3D Object Classification is the task of predicting the class of a 3D object point cloud. It is a voxel level prediction where each voxel is classified into a category. The popular benchmark for this task is the ModelNet dataset. The models for this task are usually evaluated with the Classification Accuracy metric. Image: Sedaghat et al
(Image credit: Open Source)
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ModelNet40
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3R-Scan
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