Differentiable Meta-learning Model for Few-shot Semantic Segmentation
AAAI, pp. 12087-12094, 2020.
To address the annotation scarcity issue in some cases of semantic segmentation, there have been a few attempts to develop the segmentation model in the few-shot learning paradigm. However, most existing methods only focus on the traditional 1-way segmentation setting (i.e., one image only contains a single object). This is far away fro...More
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