Scene understanding is a pivotal task for autonomous vehicles to safely navigate in the environment. Recent advances deep learning enable accurate semantic reconstruction of surroundings from LiDAR data. However, these models encounter large domain gap while deploying them on equipped with different setups which drastically decreases their performance. Fine-tuning model every new setup infeasib...

Unsupervised domain adaptation involves knowledge transfer from a labeled source to unlabeled target domains assist learning tasks. A critical aspect of unsupervised is the more transferable and distinct feature representations different domains. Although previous investigations, using, for example, CNN-based auto-encoder-based methods, have produced remarkable results in adaptation, there are ...