Image Classification on CUB-200-2011, 30 samples per class

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	GLICO	77.75	No	Generative Latent Implicit Conditional Optimizat...	2020-03-31	Code
2	Harmonic Networks (no pre-training)	72.26	No	Tune It or Don't Use It: Benchmarking Data-Effic...	2021-08-30	Code
3	Cross-entropy baseline (no pre-training)	71.44	No	Tune It or Don't Use It: Benchmarking Data-Effic...	2021-08-30	Code
4	DSK Networks (no pre-training)	71.02	No	Tune It or Don't Use It: Benchmarking Data-Effic...	2021-08-30	Code

#1GLICOSOTA
77.75
Accuracy· 2020-03-31
Generative Latent Implicit Conditional Optimization when Learning from Small Sample Code
#2Harmonic Networks (no pre-training)
72.26
Accuracy· 2021-08-30
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification Code
#3Cross-entropy baseline (no pre-training)
71.44
Accuracy· 2021-08-30
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification Code
#4DSK Networks (no pre-training)
71.02
Accuracy· 2021-08-30
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification Code