Submitted by Sheng Ye.

Submission data

Full nameInterpretable Multimodal Fusion for Point Cloud Semantic Segmentation
DescriptionThe existing state-of-the-art point cloud semantic segmentation relies on structure information only, which omit the texture information. In this paper, we propose a new multimodal fusion method to generate semantic labels by considering both structure and texture information.
Input Data TypesUses Color        Uses 3D
Programming language(s)python with CUDA
Hardwareone NVIDIA 3090 GPU
Submission creation date21 Nov, 2024
Last edited21 Nov, 2024

3D semantic label results



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