1 code implementation • CVPR 2023 • Hyeonseong Kim, Yoonsu Kang, Changgyoon Oh, Kuk-Jin Yoon
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.
no code implementations • 12 Dec 2021 • Hyeokjun Kweon, Hyeonseong Kim, Yoonsu Kang, Youngho Yoon, Wooseong Jeong, Kuk-Jin Yoon
In this paper, instead of relying on the homography-based warp, we propose a novel deep image stitching framework exploiting the pixel-wise warp field to handle the large-parallax problem.