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SotA/Computer Vision/Image Classification/Tiered ImageNet 10-way (5-shot)

Image Classification on Tiered ImageNet 10-way (5-shot)

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1Transductive CNAPS + FETI80.6YesEnhancing Few-Shot Image Classification with Unl...2020-06-17Code
2Simple CNAPS + FETI78.5YesImproved Few-Shot Visual Classification2019-12-07Code
3Transductive CNAPS72.5NoEnhancing Few-Shot Image Classification with Unl...2020-06-17Code
4Simple CNAPS70.2NoImproved Few-Shot Visual Classification2019-12-07Code
5TPN (Higher Shot)59.4NoLearning to Propagate Labels: Transductive Propa...2018-05-25Code
6Prototypical Networks (Higher Way)58.3NoPrototypical Networks for Few-shot Learning2017-03-15Code
7Relation Networks58NoLearning to Compare: Relation Network for Few-Sh...2017-11-16Code
8Label Propagation57.9NoLearning to Propagate Labels: Transductive Propa...2018-05-25Code
9Prototypical Networks57.8NoPrototypical Networks for Few-shot Learning2017-03-15Code
10MAML + Transduction54.7NoModel-Agnostic Meta-Learning for Fast Adaptation...2017-03-09Code
11MAML53.3NoModel-Agnostic Meta-Learning for Fast Adaptation...2017-03-09Code
12Reptile+BN52NoOn First-Order Meta-Learning Algorithms2018-03-08Code
13Reptile48NoOn First-Order Meta-Learning Algorithms2018-03-08Code