Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering
Author:
Affiliation:
1. School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University
Funder
National Key R&D Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204261.pdf?arnumber=10204261
Reference59 articles.
1. Jsenet: Joint semantic segmentation and edge detection network for 3d point clouds;hu;European Conference on Computer Vision,0
2. PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing
3. RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
4. Exploring Self-Attention for Image Recognition
5. Stratified Transformer for 3D Point Cloud Segmentation
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1. Interpretable Task-inspired Adaptive Filter Pruning for Neural Networks Under Multiple Constraints;International Journal of Computer Vision;2024-01-06
2. Deep-Learning-Based Point Cloud Semantic Segmentation: A Survey;Electronics;2023-08-29
3. Imbalance knowledge-driven multi-modal network for land-cover semantic segmentation using aerial images and LiDAR point clouds;ISPRS Journal of Photogrammetry and Remote Sensing;2023-08
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