OxfordPets

Benchmarks

Task Name	Dataset Name	SOTA Result
Image Classification	OxfordPets	Base Accuracy96.95	117
Image Classification	OxfordPets	Accuracy94.67	113
Base-to-New Generalization	OxfordPets	Base Score96.63	48
Fine-grained Image Classification	OxfordPets (novel classes)	ECE1.19	28
Fine-grained classification	OxfordPets (base classes)	Accuracy97.65	27
Image Classification	OxfordPets	Robust Accuracy81.4	27
Fine-grained Image Classification	OxfordPets (test)	Top-1 Error4	21
Zero-shot Classification	OxfordPets	Top-1 Clean Acc88.9	17
Fine-grained classification	OxfordPets (novel classes)	MCE0.52	15
Few-shot Image Classification	OxfordPets (test)	Accuracy (1-shot)92	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
Image Classification	OxfordPets Pathological Non-IID (test)	Accuracy0.9882	9
Image Classification	OxfordPets novel classes	Accuracy96.12	8
Classification	OxfordPets	Robust Accuracy50.4	8
Image Classification	OxfordPets 4-shot	Accuracy96	8
Image Classification	OxfordPets	Accuracy (1-shot)92.53	6
Image Classification	Oxfordpets	Clean Accuracy87.41	6
Few-Shot Class-Incremental Image-to-Text	OxfordPets	Accuracy88.1	6
Recognition	OxfordPets (Base & Novel)	Base Accuracy96.3	6
Image Classification	Oxfordpets	Clean Accuracy87.38	5
Image Recognition	OxfordPets	Natural Accuracy87.4	5
Fine-grained Classification	OxfordPets (test)	Accuracy90.57	5

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