A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information
Author:
Affiliation:
1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
2. Huawei Technology Company, Ltd., Shenzhen, China
Funder
National Natural Science Foundation of China
National Key R&D Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Theory and Mathematics,Hardware and Architecture,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/71/10272650/10285363.pdf?arnumber=10285363
Reference26 articles.
1. PointAcc: Efficient Point Cloud Accelerator
2. Temporally Coherent 3D Point Cloud Video Segmentation in Generic Scenes
3. PointNet++: Deep hierarchical feature learning on point sets in a metric space;qi;Proc Int Conf Neural Inf Process,2017
4. PointNet: Deep learning on point sets for 3D classification and segmentation;qi;Proc IEEE Conf Comput Vis Pattern Recognit,2017
5. FSA: A Fine-Grained Systolic Accelerator for Sparse CNNs
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