23 citations · 36 across the 5 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.CV2024★ 1 cited
Divide, Ensemble and Conquer: The Last Mile on Unsupervised Domain Adaptation for Semantic Segmentation
Tao Lian, Jose L. Gómez, Antonio M. López
The last mile of unsupervised domain adaptation (UDA) for semantic segmentation is the challenge of solving the syn-to-real domain gap. Recent UDA methods have progressed significa…
cs.CV2024
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation
Yachan Guo, Yi Xiao, Danna Xue +2
Instance segmentation is crucial for autonomous driving, but is hindered by the lack of annotated real-world data due to expensive labeling costs. Unsupervised Domain Adaptation (U…