0b3f44d9054402de39441e165a4bdfe0-Supplemental.pdf

Multiple versions of this dataset exist in the literature; we use the version by Ravi and Larochelle [43]. The original version of the dataset contains43images that are also present in ImageNet. We remove these duplicates to avoid overestimating the transfer capability during evaluation. VGGFlowers: Originally introduced by Nilsback and Zisserman[38], VGGFlowers consists of 102 flower categories with each category containing between40 and 258 images. A.3 Trainingalgorithms For the metric-based family, we use ProtoNet with Euclidean [53] and scaled negative cosine similarity measures [20].