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SotA/Computer Vision/Image Classification/Stanford Dogs 5-way (5-shot)

Image Classification on Stanford Dogs 5-way (5-shot)

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1MML(KL)75.59NoMulti-level Metric Learning for Few-shot Image R...2021-03-21-
2MATANet70.29NoMulti-scale Adaptive Task Attention Network for ...2020-11-30-
3DN4-DA (k=1)66.33NoRevisiting Local Descriptor based Image-to-Class...2019-03-28Code
4GNN++62.27NoFew-Shot Learning with Graph Neural Networks2017-11-10Code
5Prototypical Nets++48.19NoPrototypical Networks for Few-shot Learning2017-03-15Code
6Matching Nets FCE++47.5NoMatching Networks for One Shot Learning2016-06-13Code