Flower

Benchmarks

Task Name	Dataset Name	SOTA Result
Fine-grained classification	Flower102 (test)	Accuracy97.8	27
Fine-grained classification	Flower102	Clean Accuracy69	18
Image Classification	Flower (test)	Accuracy99.45	18
Image Classification	Flower-102 (test)	NLL (N=510)0.54	16
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
Equilibrated reaction prediction	FlowER 19 (original)	Step Accuracy (Top-1)89.74	8
Image Classification	Flower	Accuracy95.84	8
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
Image Segmentation	Flower	Accuracy90.1	5
Image Classification	Flower	Attributional Robustness (IN)80.84	5
Mask Generation	Flower	Accuracy92.7	4
Image Synthesis	Flower few-sample 1000 images	FID25.66	4
Flower Classification	Flower dataset 5 classes 4000 images	Accuracy93.52	3
Elementary step prediction	FlowER 19 (original)	Top-1 Accuracy99.7	2
Image Classification	Flower-102 (low-confidence set)	Top-1 Accuracy29.4	2

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