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SOTA 5-way 5-shot Classification benchmarks and papers with code | Wizwand
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5-way 5-shot Classification
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
CD-FSL (ISIC, EuroSAT, CropDisease, ChestX) (test)
PE-Core-LoRA + OURS
Accuracy (ISIC)
61.41
60
1mo ago
miniImageNet (test)
S2M2 + TCPR
Accuracy
86.61
56
1mo ago
Omniglot (test)
Meta-SGD
Accuracy
99.93
49
1mo ago
tiered-ImageNet (test)
UniSiam+dist
Accuracy
86.51
32
1mo ago
mini-ImageNet
IbM2
Mean Accuracy
98.9
27
1mo ago
TieredImageNet
Oracle
Accuracy (0% Noise)
71.42
16
1mo ago
MiniImageNet
Similarity weighted prototypes (Euclidean)
Accuracy (0% Noise)
68.51
16
1mo ago
ChestX
PE-Core-LoRA + VtT
Accuracy
27.05
14
1mo ago
CropDisease
PE-Core-LoRA + VtT
Accuracy
98.36
14
1mo ago
EuroSAT
PE-Core-LoRA + VtT
Accuracy
94.67
14
1mo ago
ISIC
PE-Core-LoRA + VtT
Accuracy
60.03
14
1mo ago
CIFAR-FS
PMF
Mean Accuracy
96
10
6d ago
Few-shot Image Classification Transfer Suite (Aircraft, Caltech, Cars, Cifar10, Cifar100, DTD, Flowers, Food, Pets, SUN) various (test)
PCL
Accuracy (Aircraft)
36.86
6
1mo ago
Thai (test)
ProtoNet
Accuracy
54.6
4
1mo ago
Arabic (test)
ProtoNet
Accuracy
91.7
4
1mo ago
LIBRAS (test)
ProtoNet
Accuracy
97.1
4
1mo ago
ASL (test)
ProtoNet
Accuracy
95.4
4
1mo ago
CIFAR-100 (test)
TADAM
Accuracy
56.1
4
1mo ago
miniImageNet (test)
PZOBO
Convergence Time (67% Acc, hours)
2
4
1mo ago
Aircraft, Quick Draw, Textures and MSCOCO 600 tasks
TDFML
Accuracy (BEST)
52.55
3
6d ago
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