Discriminative k-shot learning using probabilistic models

ICLR 2018 Matthias BauerMateo Rojas-CarullaJakub Bartłomiej ŚwiątkowskiBernhard SchölkopfRichard E. Turner

This paper introduces a probabilistic framework for k-shot image classification. The goal is to generalise from an initial large-scale classification task to a separate task comprising new classes and small numbers of examples... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK SOURCE PAPER COMPARE
Few-Shot Image Classification Mini-Imagenet 5-way (10-shot) ResNet-34 (Isotropic Gaussian) Accuracy 78.5 # 4

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