Hybrid Method for Point Cloud Classification
In this study, we introduce a novel hybrid ResPOL method that integrates a bidirectional architecture with a newly developed Patch-Offset Lambda (POL) mechanism for feature extraction from point cloud data. This hybrid approach effectively combines the Residual Machine Learning Perceptron (ResMLP) w...
Saved in:
Main Authors: | Abdurrahman Hazer, Remzi Yildirim |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10824806/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Rotation-Invariant Convolution With Point Sort and Curvature Radius for Point Cloud Classification and Segmentation
by: Zhao Shen, et al.
Published: (2025-01-01) -
Evaluation of Rapeseed Leave Segmentation Accuracy Using Binocular Stereo Vision 3D Point Clouds
by: Lili Zhang, et al.
Published: (2025-01-01) -
Multi-stage refinement network for point cloud completion based on geodesic attention
by: Yuchen Chang, et al.
Published: (2025-01-01) -
Hybrid Offset Position Encoding for Large-Scale Point Cloud Semantic Segmentation
by: Yu Xiao, et al.
Published: (2025-01-01) -
RockCloud-Align: A High-Precision Benchmark for Rock-Mass Point-Cloud Registration
by: Yunbiao Wang, et al.
Published: (2025-01-01)