HARD-POSITIVE PROTOTYPICAL NETWORKS FOR FEW-SHOT CLASSIFICATION

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 of each

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Behind the scenes of streamflow model performance

Streamflow is often the only variable used to evaluate hydrological models.In a previous international comparison study, eight research groups followed an identical protocol to calibrate 12 hydrological models using observed streamflow of catchments within the Meuse basin.In the current study, we quantify the differences in five states and fluxes o

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