SOTA Base-to-New Generalization benchmarks and papers with code

Benchmarks

Dataset Name	SOTA Method	Metric
Avg over 11 datasets	2SFS	Base Score88.11	90	1mo ago
DTD	+DPC	Base Accuracy86.88	82	1mo ago
ImageNet		Base Accuracy82	81	1mo ago
FGVCAircraft	2SFS	Base Performance51.58	78	1mo ago
UCF101	TC-CLIP	Base Accuracy95.5	71	1mo ago
OxfordPets	DeAR	Base Score97.34	64	1mo ago
Caltech101	DeAR	Base Score99	58	1mo ago
StanfordCars		Base Score83.93	57	1mo ago
Average	PromptSRC + T_En	Base Score85.48	13	1mo ago
Flowers	SkipT.	Base Accuracy98.57	10	1mo ago
Cars	SkipT.	Base Score0.8293	10	1mo ago
Caltech	CoPro.*	Base Score98.6	10	1mo ago
Average of 10 benchmark datasets	RPO	Base Accuracy81.31	10	1mo ago
Average (PatternNet, RSICD, RESISC45, MLRSNet)	APPLeNet	Base Score92.52	8	1mo ago
MLRSNet	TCP	Base Set Score86.9	8	1mo ago
RESISC45	APPLeNet	Base Accuracy91	8	1mo ago
RSICD	BiMoRS	Base Score96.4	8	1mo ago
PatternNet	MaPLe	Base Set Score97.5	8	1mo ago
Average of 11 datasets (ImageNet, Caltech, OxfordPets, StanfordCars, Flowers, Food101, FGVCAircraft, EuroSAT, UCF101, DTD, SUN397) 16-shot	CoOp	Base Performance0.8263	8	1mo ago
Average of 11 datasets (ImageNet, Caltech, OxfordPets, StanfordCars, Flowers, Food101, FGVCAircraft, EuroSAT, UCF101, DTD, SUN397) 8-shot	CoOp	Base Score80.73	8	1mo ago
DTD (test)	CoOp	Base Performance80.17	5	1mo ago
11 datasets average (test)	CoOp	Training Time (ms/img)6	4	1mo ago
ImageNet (test)	MaPLe + CC-CDFSL	Accuracy (Base Classes)75.59	2	1mo ago

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