Submitted by Abiao Li.

Submission data

Full nameGSTran: Joint Geometric and Semantic Coherence for Point Cloud Segmentation
Descriptionwe propose
GSTran, a novel transformer network tailored for the segmentation task.
The proposed network mainly consists of two principal components: a
local geometric transformer and a global semantic transformer. In the
local geometric transformer module, we explicitly calculate the geomet
ric disparity within the local region. This enables amplifying the affinity
with geometrically similar neighbor points while suppressing the associ
ation with other neighbors. In the global semantic transformer mod
Publication authorsAbiao Li
Input Data TypesUses Color        Uses 3D
Programming language(s)python with cuda
HardwareGeForce 3090
Submission creation date18 Nov, 2024
Last edited18 Nov, 2024

3D semantic label results



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