Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters
Mrigank Rochan,Shubhra Aich,Eduardo R. Corral-Soto,Amir Nabatchian,Bingbing Liu,Mrigank Rochan,Shubhra Aich,Eduardo R. Corral-Soto,Amir Nabatchian,Bingbing Liu
In this paper, we focus on a less explored, but more realistic and complex problem of domain adaptation in LiDAR semantic segmentation. There is a significant drop in performance of an existing segmentation model when training (source domain) and testing (target domain) data originate from different LiDAR sensors. To overcome this shortcoming, we propose an unsupervised domain adaptation framework...
