tieredImageNet

홈페이지 · 논문 317편

The tieredImageNet dataset is a larger subset of ILSVRC-12 with 608 classes (779,165 images) grouped into 34 higher-level nodes in the ImageNet human-curated hierarchy. This set of nodes is partitioned into 20, 6, and 8 disjoint sets of training, validation, and testing nodes, and the corresponding classes form the respective meta-sets. As argued in Ren et al. (2018), this split near the root of the ImageNet hierarchy results in a more challenging, yet realistic regime with test classes that are less similar to training classes. Source: tieredImageNet Image Source: https://arxiv.org/pdf/1803.00676.pdf

Images

벤치마크

Few-Shot Image Classification on Tiered ImageNet 5-way (5-shot) 결과 102개

Few-Shot Image Classification on Tiered ImageNet 5-way (1-shot) 결과 98개

Few-Shot Image Classification on Tiered ImageNet 10-way (1-shot) 결과 26개

Few-Shot Image Classification on Tiered ImageNet 10-way (5-shot) 결과 26개

Unsupervised Few-Shot Image Classification on Tiered ImageNet 5-way (1-shot) 결과 24개

Unsupervised Few-Shot Image Classification on Tiered ImageNet 5-way (5-shot) 결과 24개

Image Classification on Tiered ImageNet 5-way (5-shot) 결과 7개