Prototype Rectification Few-Shot Classification Model with Dual-Path Cooperation
In the learning process of the metric-based meta-learning, there are some problems, such as the lack of prior knowledge acquired due to the distribution of scarce data, the interference of weakly related or unrelated features extracted from a single-view sample, and the deviations of representative features caused by classification.To solve these p