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Papers Benchmarks Datasets Tasks

Fine-Grained dataset and benchmarks · SOTA2 Research

Research Datasets

Fine-Grained

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Image Classification

Fine-Grained iNat-21, SUN, Aircraft, CUB, CIFAR-10

68.6Accuracy

60

Mining Footprint Segmentation

Fine-grained (test)

92.33Accuracy

14

Generalized Category Discovery

Fine-grained Avg

76.6Overall Accuracy

12

Zero-shot Classification

Fine-Grained datasets (OxfordPets, Flowers102, Food101, StanfordCars)

76.7Top-1 Accuracy (Clean)

10

Image Classification

Fine-grained (Pets, Flowers)

95.45Accuracy (Clean)

5

Popular tasks

Image Classification Generalized Category Discovery Zero-shot Classification Mining Footprint Segmentation

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