Caltech

Benchmarks

Task Name	Dataset Name	SOTA Result
Image Classification	Caltech-101	Accuracy98.9	198
Image Classification	Caltech101	Accuracy96.92	162
Image Classification	Caltech-101	Top-1 Accuracy98.6	146
Image Classification	Caltech101	Base Accuracy98.37	129
Image Classification	Caltech101 (test)	Accuracy99.12	121
Image Classification	Caltech101	Base Accuracy99	106
Image Classification	Caltech	Accuracy97.16	98
Image Classification	Caltech-256 (test)	Top-1 Acc87	59
Object Recognition	N-Caltech101	Accuracy94.56	51
Image Classification	Caltech256	Accuracy (Clean)88.84	51
Object Classification	N-Caltech101 (test)	Accuracy90.2	51
Base-to-New Generalization	Caltech101	Base Score98.93	44
Clustering	Caltech 7-5V	ACC90.4	40
Image Classification	Caltech-256	Accuracy89.2	36
Pedestrian Detection	Caltech (test)	MR9.6	36
Classification	Caltech101	Accuracy97.6	34
Classification	Caltech101 (test)	Accuracy93.79	33
Object Recognition	Caltech101	Accuracy39.2	31
Semantic Correspondence	Caltech-101	LT-ACC88	31
Fine-grained classification	Caltech101	Accuracy95.9	29
Fine-grained Image Classification	Caltech101 (novel classes)	ECE1.03	28
Model Selection	Caltech	Weighted Kendall's Tau0.78	24
Image Classification	Caltech-101	Accuracy93.95	21
Image Classification	Caltech 256	Clean Accuracy90.5	20
PTM Selection	Caltech101	Kendall's weighted tau0.761	19

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