Image Classification on CUB 200 50-way (0-shot)

Metric: Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	Prototypical Networks	54.6	No	Prototypical Networks for Few-shot Learning	2017-03-15	Code
2	DA-SJE Reed et al. (2016)	50.9	No	Learning Deep Representations of Fine-grained Vi...	2016-05-17	Code
3	DS-SJE Reed et al. (2016)	50.4	No	Learning Deep Representations of Fine-grained Vi...	2016-05-17	Code
4	SJE Akata et al. (2015)	50.1	No	Evaluation of Output Embeddings for Fine-Grained...	2014-09-30	Code

#1Prototypical NetworksSOTA
54.6
Accuracy· 2017-03-15
Prototypical Networks for Few-shot Learning Code
#2DA-SJE Reed et al. (2016)SOTA
50.9
Accuracy· 2016-05-17
Learning Deep Representations of Fine-grained Visual Descriptions Code
#3DS-SJE Reed et al. (2016)
50.4
Accuracy· 2016-05-17
Learning Deep Representations of Fine-grained Visual Descriptions Code
#4SJE Akata et al. (2015)SOTA
50.1
Accuracy· 2014-09-30
Evaluation of Output Embeddings for Fine-Grained Image Classification Code