STL

Benchmarks

Task Name	Dataset Name	SOTA Result
Image Clustering	STL-10	ACC98.3	229
Image Classification	STL-10	Top-1 Accuracy99.6	128
Image Classification	STL-10	Accuracy99.2	109
Image Generation	STL-10	FID13.68	66
Image Generation	STL-10 (test)	Inception Score10.61	59
Image Classification	STL-10 1000 labels	Error Rate1.36	54
Image Classification	STL-10	Accuracy97.5	33
Image Classification	STL-10 40 labels	Error Rate3.92	30
Graph-level classification	STL-10 (test)	Accuracy0.765	24
Image Classification	STL-10	Top-1 Acc82.89	24
Image Classification	STL-10	Mean Error Rate4.11	22
Deep Clustering	STL-10	SC0.923	19
Image Classification	STL-10 (train test)	Error Rate5.77	18
Semi-supervised learning	STL-10	Error Rate7.55	16
Image Generation	STL-10 (train test)	FID22.18	15
Image Classification	STL-10 USB 100 labels	Error Rate7.21	14
Unsupervised Image Generation	STL-10 (train)	Inception Score26.08	14
Image Classification	STL-10	Error Rate (40 Labels)9.15	13
Image Classification	STL-10	Accuracy (Benign)49.9	11
Image Classification	STL	Top-1 Acc96.7	11
Classification	STL10	Robust Accuracy78.48	10
Image Classification	STL-10 Hue-shifted (test)	Accuracy84.31	10
Image Classification	STL-10 100 labels (test)	Top-1 Acc89.56	10
Classification	STL10	Top-1 Accuracy88.3	8
Cross-modal Image Classification	STL-10 chrominance view (test)	Top-1 Acc75.43	8

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