Fig. 1
From: A spatially aware global and local perspective approach for few-shot incremental learning
Illustration of different strategies in the few-shot learning task. (a) Meta-task sampler: Sampling from the base class to create the support and query sets is used to construct meta-learning tasks; (b) Base-task sampler: Sampling from the base class to create the base sample set is used to construct full-class supervised learning; (c) Base-task sampler with spatial feature enhancer: Sampling from the base class to create the base sample set is used to construct full-class supervised learning with spatial feature enhancer.
