Density Matters: Improved Core-set for Active Domain Adaptive Segmentation

Active domain adaptation has emerged as a solution to balance the expensive annotation cost and the performance of trained models in semantic segmentation.

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Shizhan Liu, Zhengkai Jiang, Yuxi Li, Jinlong Peng, Yabiao Wang, Weiyao Lin (2024). Dataset: Density Matters: Improved Core-set for Active Domain Adaptive Segmentation. https://doi.org/10.57702/4pzr9ela

DOI retrieved: December 2, 2024

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2312.09595
Author Shizhan Liu
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Zhengkai Jiang
Yuxi Li
Jinlong Peng
Yabiao Wang
Weiyao Lin
Homepage https://arxiv.org/abs/2106.09541