Home /Research /Residual learning with annularly convolutional neural networks for classification and segmentation of 3D point clouds

LEARNING

Residual learning with annularly convolutional neural networks for classification and segmentation of 3D point clouds

R. Hassan, Muhammad Moazam Fraz, Ashvini Alashetty G. G. Rajput, Muhammad Shahzad

Year: 2023
Citations: 32

Keywords

Point cloudArtificial intelligenceComputer scienceConvolutional neural networkNormalization (sociology)ResidualDeep learningSegmentationPattern recognition (psychology)Softmax function

Residual learning with annularly convolutional neural networks for classification and segmentation of 3D point clouds

Keywords

Related papers

Statistical Learning Theory

Artificial intelligence: a modern approach

Applied Nonlinear Control

A new optimizer using particle swarm theory