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	Top-1 Acc99.41	89
Image Classification	STL-10 1000 labels	Error Rate1.36	81
Image Generation	STL-10	FID13.68	73
Image Generation	STL-10 (test)	Inception Score10.61	59
Image Classification	STL-10 40 labels	Error Rate3.92	42
Image Classification	STL-10	Accuracy97.5	33
Image Classification	STL-10	Top-1 Accuracy99	28
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
Binary Classification	STL10	Top-1 Accuracy98.74	20
Image Classification	STL-10	Classification Error9.85	19
Deep Clustering	STL-10	SC0.923	19
Zero-shot Image Classification	STL	Zero-shot Accuracy0.9646	18
Machine Unlearning	STL	Accuracy96.46	18
Image Classification	STL-10	ACCm96.6	18
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

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