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SMELLNET dataset and benchmarks · SOTA2 Research

Research Datasets

SMELLNET

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Single-ingredient odor classification

SMELLNET BASE

63.3Accuracy@1

32

Smell Classification

SmellNet smell-only (test)

63.75Accuracy

12

Smell Localization

SmellNet-V-Source

0.67mIoU

11

Mixture proportion prediction

SMELLNET-MIXTURE (unseen)

2.302KL Divergence

8

Mixture proportion prediction

SMELLNET MIXTURE (seen)

0.37KL Divergence

8

Distribution Prediction

SMELLNET-MIXTURE BASE variant (seen combinations)

0.04MAE

8

Interactive Localization

SmellNet InteractiveSource V (test)

41IIoU

7

Vision-to-Smell Retrieval

SmellNet-V (test)

63.2Recall@1

4

Smell-to-Vision Retrieval

SmellNet-V (test)

56.14R@1

4

Family-wise Classification

SmellNet V (unseen ingredients)

52.97Accuracy

4

Smell-to-Smell Retrieval

SmellNet (test)

69.44R@1

2

Popular tasks

Mixture proportion prediction Distribution prediction Interactive Localization Single-ingredient odor classification Family-wise Classification

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