Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation
Author:
Affiliation:
1. Processor Architecture Research Lab India, Intel Labs
2. Autonomous Agents Lab Germany, Intel Labs
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879957.pdf?arnumber=9879957
Reference39 articles.
1. Dual graph convolutional network for semantic segmentation;zhang;ArXiv Preprint,2019
2. DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments
3. Graph attention convolution for point cloud se-mantic segmentation;wang;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,0
4. Attention is all you need;vaswani;Advances in neural information processing systems,0
5. AdapNet: Adaptive semantic segmentation in adverse environmental conditions
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2. JSNet++: Dynamic Filters and Pointwise Correlation for 3D Point Cloud Instance and Semantic Segmentation;IEEE Transactions on Circuits and Systems for Video Technology;2023-04
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