Learnable Upsampling-Based Point Cloud Semantic Segmentation
Author:
Affiliation:
1. Information Engeering University,Institute of Geospatial Information,Zhengzhou,China
2. State Key Laboratory of Geo-Information Engineering,Xian,China
Funder
National Natural Science Foundation of China
State Key Laboratory of Geo-Information Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9886001/9885797/09886287.pdf?arnumber=9886287
Reference28 articles.
1. Multi-Scale Attentive Aggregation for LiDAR Point Cloud Segmentation
2. Pointnet++: Deep hierarchical feature learning on point sets in a metric space;qi;Advances in neural information processing systems,2017
3. Semantic segmentation using regions and parts
4. Fully convolutional networks for semantic segmentation
5. UP-CNN: Un-pooling augmented convolutional neural network
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