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Found 2 papers, 1 papers with code
Single Domain Generalization for LiDAR Semantic Segmentation
In this paper, we propose a single domain generalization method for LiDAR semantic segmentation (DGLSS) that aims to ensure good performance not only in the source domain but also in the unseen domain by learning only on the source domain.
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning
Providing omnidirectional depth along with RGB information is important for numerous applications, eg, VR/AR.
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