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Stanford Dogs

Benchmarks

Task Name	Dataset Name	SOTA Result
Image Classification	Stanford Dogs	Accuracy93.8	130
Fine-grained Image Classification	Stanford Dogs (test)	Accuracy97.3	117
Image Classification	Stanford Dogs (test)	Top-1 Acc92.4	85
Fine-Grained Visual Classification	Stanford Dogs (test)	Top-1 Acc92	52
Fine-Grained Visual Categorization	Stanford Dogs	Accuracy97.1	51
Concept Erasure	Stanford Dogs (test)	Aer100	21
Image Classification	Stanford Dogs (test)	1-shot Accuracy67.56	21
Fine-grained Classification	Stanford Dogs 40% symmetric noise (test)	Best Accuracy79.12	20
Fine-grained Classification	Stanford Dogs 20% symmetric noise (test)	Best Accuracy81.4	20
Fine-grained Image Classification	Stanford Dogs	Score8.8	18
Image Classification	Stanford Dogs	Clean Accuracy92.02	18
Few-shot Classification	Stanford Dogs	Accuracy81.77	15
Image Classification	Stanford Dogs 5-way 5-shot (test)	Accuracy91.35	13
Image Classification	Stanford Dogs 5-way 2-shot	Accuracy86.95	13
Fine-grained Classification	Stanf. Dogs (test)	Top-1 Error7.1	10
Class Incremental Learning	Stanford Dogs 10 Tasks	Average Accuracy92.64	9
Image Classification	Stanford Dogs 1.0 (test)	CLIP Score76.9	8
Weakly Supervised Object Localization	Stanford-Dogs (test)	Localization Accuracy86.4	7
Fine-grained 5-way classification	Stanford Dogs	1-shot Acc46.98	7
Metric correlation with human assessment of privacy leakage	Stanford Dogs (test)	Spearman Correlation0.4782	6
Unsupervised Foreground Extraction	Stanford Dogs (test)	mIoU86.2	5
Generalization gap prediction	Stanford Dogs	Generalization Gap Prediction Error27	5
Fine-grained object category discovery	Stanford Dogs (test)	NMI0.233	5
Image Generation	Stanford Dogs (test)	IS46.92	5
Explanation Generation	Stanford Dogs	EE1	4

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