2024
Semantics Distortion and Style Matter: Towards Source-free UDA for Panoramic Segmentation
CVPR 2024poster
This paper addresses an interesting yet challenging problem-- source-free unsupervised domain adaptation (SFUDA) for pinhole-to-panoramic semantic segmentation--given only a pinhole image-trained model (i.e. source) and unlabeled panoramic images (i.e. target). Tackling this problem is nontrivial du…