Volumetric and Multi-View CNNs for Object Classification on 3D Data

CVPR 2016 Charles R. QiHao SuMatthias NiessnerAngela DaiMengyuan YanLeonidas J. Guibas

3D shape models are becoming widely available and easier to capture, making available 3D information crucial for progress in object classification. Current state-of-the-art methods rely on CNNs to address this problem... (read more)

PDF Abstract

Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
3D Object Recognition ModelNet40 MVCNN-MultiRes Accuracy 93.8% # 1