Temporal Correlation Optimization for Accelerated 3D Sparse Convolution in Point Cloud Inference on CPU
3D point clouds primarily consist of irregular, sparse data, dominated by background elements. The inherent irregularity of 3D point clouds induces elevated data movement, while the predominance of background points significantly amplifies computational requirements. Inspired by the substantial over...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/6/3382 |
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