Few-Shot Classification and Segmentation
1 papers with code • 6 benchmarks • 0 datasets
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Integrative Few-Shot Learning for Classification and Segmentation
We introduce the integrative task of few-shot classification and segmentation (FS-CS) that aims to both classify and segment target objects in a query image when the target classes are given with a few examples.