Nov 28, 2023 � Our proposed MFAF module integrates multiscale features by introducing an adaptive fusion approach. It effectively bridges the semantic gap�...

A novel network architecture called GAF-Net is proposed, which comprises a geometric contextual feature aggregation (GCFA) module and a multiscale feature�...

4) We propose a novel and efficient network for large-scale point cloud semantic segmentation called GAF-Net, which is based on the GCFA and MFAF modules. By�...

GAF-Net: Geometric Contextual Feature Aggregation and Adaptive Fusion for Large-Scale Point Cloud Semantic Segmentation.

GAF-Net: Geometric Contextual Feature Aggregation and Adaptive Fusion for Large-Scale Point Cloud Semantic Segmentation � SAGE-Net: Employing Spatial Attention�...

GAF-Net: Geometric Contextual Feature Aggregation and Adaptive Fusion for Large-Scale Point Cloud Semantic Segmentation. Article. Jan 2023. Ce Zhou�...

Semantic segmentation for large-scale point clouds based on hybrid attention and dynamic fusion � GAF-Net: Geometric Contextual Feature Aggregation and Adaptive�...

The point cloud feature aggregation, which learns discriminative features from the disordered points, plays a key role for large-scale point cloud semantic�...

We propose a Graph Transformer point cloud semantic segmentation network (ASGFormer) tailored for structurally adherent objects.

Aug 28, 2024 � This study proposes a point-cloud semantic segmentation network framework based on double-distance self-attention.