Meta-Seg: A Generalized Meta-Learning Framework for Multi-Class Few-Shot Semantic Segmentation
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DOI: 10.1109/access.2019.2953465
Abstract: Semantic segmentation performs pixel-wise classification for given images, which can be widely used in autonomous driving, robotics, medical diagnostics and etc. The recent advanced approaches have witnessed rapid progress in semantic segmentation. However, these supervised… read more here.
Keywords: shot semantic; meta learning; meta seg; semantic segmentation ... See more keywords