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SotA/Computer Vision/Few-Shot Image Classification/Tiered ImageNet 10-way (1-shot)

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

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1Transductive CNAPS + FETI65.1YesEnhancing Few-Shot Image Classification with Unl...2020-06-17Code
2Simple CNAPS + FETI57.1YesImproved Few-Shot Visual Classification2019-12-07Code
3Transductive CNAPS54.6NoEnhancing Few-Shot Image Classification with Unl...2020-06-17Code
4Simple CNAPS48.1NoImproved Few-Shot Visual Classification2019-12-07Code
5TPN (Higher Shot)44.8NoLearning to Propagate Labels: Transductive Propa...2018-05-25Code
6Label Propagation39.4NoLearning to Propagate Labels: Transductive Propa...2018-05-25Code
7Prototypical Networks (Higher Way)38.6NoPrototypical Networks for Few-shot Learning2017-03-15Code
8Prototypical Networks37.3NoPrototypical Networks for Few-shot Learning2017-03-15Code
9Relation Networks36.3NoLearning to Compare: Relation Network for Few-Sh...2017-11-16Code
10Reptile+BN35.3NoOn First-Order Meta-Learning Algorithms2018-03-08Code
11MAML + Transduction34.8NoModel-Agnostic Meta-Learning for Fast Adaptation...2017-03-09Code
12MAML34.4NoModel-Agnostic Meta-Learning for Fast Adaptation...2017-03-09Code
13Reptile33.7NoOn First-Order Meta-Learning Algorithms2018-03-08Code