Flower

Benchmarks

Task Name	Dataset Name	SOTA Result
Fine-grained classification	Flower102 (test)	Accuracy97.8	27
Image Classification	Flower102	Base Accuracy96.5	26
Fine-grained classification	Flower102	Clean Accuracy76.5	25
Image Classification	Flower	Accuracy95.84	23
Fine-grained Image Classification	Flower102	Accuracy99.19	19
Image Classification	Flower (test)	Accuracy99.45	18
Image Classification	Flower102	Accuracy99	16
Image Classification	Flower-102 (test)	NLL (N=510)0.54	16
Image Classification	Flower102	Clean Accuracy65.6	13
Image Classification	Flower102	Robust Accuracy37.02	13
Fine-grained Classification	Flower102	Top-1 Acc98.9	13
Spectral Clustering	Flower-20M	Time Cost (s)311.94	11
Clustering	Flower-20M	Cluster Accuracy93.79	11
Multi-view Classification	Flower (test)	Balanced Accuracy0.8633	10
Fine-grained Visual Recognition	Flower-102 (test)	EM96.5	9
Equilibrated reaction prediction	FlowER 19 (original)	Step Accuracy (Top-1)89.74	8
Long-tail classification	Flower-LT IF=10	Accuracy97.8	7
Long-tail classification	Flower-LT IF=50	Accuracy96.85	7
Long-tail classification	Flower-LT IF=100	Accuracy (Many)100	7
Image Generation	Flower	FID11.5	7
Ensemble Clustering	Flower-20M	Time cost (s)764.09	7
Ensemble Clustering	Flower-20M	NMI (%)92.47	7
Image Classification	Flower	Accuracy97.7	6
Fine-grained Visual Recognition	Flower-102	cACC67.2	5
Image Segmentation	Flower	Accuracy90.1	5

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