Hard-Positive Prototypical Networks for Few-Shot Classification
Prominent prototype-based classification (PbC) approaches, such as Prototypical Networks (ProtoNet), use the average of samples within a class as the class prototype.In these methods which we call Mean-PbC, a discriminant classifier is defined based on the minimum Mahalanobis distance from class prototypes.It is well known that if the data Anti-fri