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MM2D3D

Official code for the paper "Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation"

Install / Use

/learn @CVLAB-Unibo/MM2D3D
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

MM2D3D

Official code for the paper "Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation" published at the CVPR 2023 Workshop on Autonomous Driving (WAD). Authors: Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano.

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GitHub Stars11
CategoryDevelopment
Updated5mo ago
Forks1

Languages

Python

Security Score

72/100

Audited on Oct 6, 2025

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