OxfordPets

Benchmarks

Task Name	Dataset Name	SOTA Result
Image Classification	OxfordPets	Accuracy95.9	298
Image Classification	OxfordPets	H Score97.68	182
Base-to-New Generalization	OxfordPets	Base Score97.34	76
Image Classification	OxfordPets	Robust Accuracy87.46	71
Image Classification	Oxfordpets	Robust Accuracy68.05	41
Fine-grained Image Classification	OxfordPets (novel classes)	ECE1.19	28
Fine-grained classification	OxfordPets (base classes)	Accuracy97.65	27
Prompt Watermarking and Verification	OxfordPets	Base Accuracy96.13	22
Image Classification	OxfordPets 4-shot	Accuracy96	22
Fine-grained Image Classification	OxfordPets (test)	Top-1 Error4	21
Image Classification	OxfordPets	Top-1 Accuracy92.6	19
Zero-shot Classification	OxfordPets	Top-1 Clean Acc88.9	17
Image Classification	OxfordPets 16-shot	Top-1 Clean Accuracy85.04	15
Fine-grained classification	OxfordPets (novel classes)	MCE0.52	15
Few-shot Image Classification	OxfordPets (test)	Accuracy (1-shot)92	15
Image Classification	OxfordPets (Novel)	Top-1 Accuracy98.07	15
Fine-grained Image Classification	OxfordPets New classes	Accuracy98.07	12
Fine-grained Image Classification	OxfordPets Base classes	Accuracy96.1	12
Classification	OxfordPets	Accuracy89.4	10
Image Classification	OxfordPets (test)	Pruning Ratio85	10
Backdoor Attack	OxfordPets	Accuracy (ACC)94.36	9
Image Classification	OxfordPets Pathological Non-IID (test)	Accuracy0.9882	9
Image Classification	OxfordPets (val)	Accuracy94.41	8
Image Classification	OxfordPets novel classes	Accuracy96.12	8
Classification	OxfordPets	Robust Accuracy50.4	8

Showing 25 of 44 rows