STL

Benchmarks

Task Name	Dataset Name	SOTA Result
Image Clustering	STL-10	ACC98.5	282
Image Classification	STL-10	Top-1 Accuracy99.6	146
Image Classification	STL-10	Accuracy99.2	129
Image Classification	STL-10 1000 labels	Error Rate1.36	68
Image Generation	STL-10	FID13.68	66
Image Generation	STL-10 (test)	Inception Score10.61	59
Image Classification	STL-10	Accuracy97.5	33
Image Classification	STL-10 40 labels	Error Rate3.92	30
Image Classification	STL (test)	Accuracy99	26
Graph-level classification	STL-10 (test)	Accuracy0.765	24
Image Classification	STL-10	Top-1 Acc82.89	24
Pairwise Comparison	STL-10	Accuracy78.48	22
Image Classification	STL-10	Mean Error Rate4.11	22
Backdoor Attack	STL10	Attack Success Rate (ASR)100	21
Deep Clustering	STL-10	SC0.923	19
Image Classification	STL-10	Average Robust Accuracy86.23	18
Image Classification	STL-10 (train test)	Error Rate5.77	18
Cluster count selection	Stl	Selected Cluster Count14	16
Binary Classification	STL-10	Accuracy81.36	16
Semi-supervised learning	STL-10	Error Rate7.55	16
Image Generation	STL-10 (train test)	FID22.18	15
Classification	STL10	Top-1 Accuracy98.3	14
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

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