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Found 4 papers, 2 papers with code
Automatic Cadastral Boundary Detection of Very High Resolution Images Using Mask R-CNN
In this paper, we focus on deep learning and provide three geometric post-processing methods that improve the quality of the work.
Meta-Learning in Spiking Neural Networks with Reward-Modulated STDP
The human brain constantly learns and rapidly adapts to new situations by integrating acquired knowledge and experiences into memory.
Keypoint Cascade Voting for Point Cloud Based 6DoF Pose Estimation
We propose a novel keypoint voting 6DoF object pose estimation method, which takes pure unordered point cloud geometry as input without RGB information.
Joint Geometry and Color Projection-based Point Cloud Quality Metric
Moreover, the proposed point cloud quality metric exploits the best performing 2D quality metrics in the literature to assess the quality of the projected images.
Ranked #1 on
Point Cloud Quality Assessment
on M-PCCD
