2 papers
cs.CV2024
Fine-grained Background Representation for Weakly Supervised Semantic Segmentation
Xu Yin, Woobin Im, Dongbo Min +3
Generating reliable pseudo masks from image-level labels is challenging in the weakly supervised semantic segmentation (WSSS) task due to the lack of spatial information. Prevalent…
cs.CV2024
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation
Fei Pan, Xu Yin, Seokju Lee +3
Unsupervised domain adaptation (UDA) has been a potent technique to handle the lack of annotations in the target domain, particularly in semantic segmentation task. This study intr…