LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks

Guohao Li
Guohao Li
Mengmeng Xu
Mengmeng Xu
Ali Thabet
Ali Thabet
Cited by: 0|Views7

Abstract:

Point cloud architecture design has become a crucial problem for 3D deep learning. Several efforts exist to manually design architectures with high accuracy in point cloud tasks such as classification, segmentation, and detection. Recent progress in automatic Neural Architecture Search (NAS) minimizes the human effort in network design ...More

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