Method / resourcemodel-written summary

The method attained 81.4% top-1 accuracy on the PlantCLEF 2015 dataset.

A claim from Multiscale feature fusion and enhancement in a transformer for the fine-grained visual classification of tree species · 2025

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The method attained 81.4% top-1 accuracy on the PlantCLEF 2015 dataset.

Outcome
top-1 accuraciese0
Value
81.4 %e0
Setting
PlantCLEF 2015e0

Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorDirectionQualifier

Verbatim

e0

“the method performed well on three popular FGVC datasets, namely, the Flavia , Oxford Flowers, and PlantCLEF 2015 datasets, with top-1 accuracies of 100 %, 99.2 %, and 81.4 %, respectively.”

✓ located verbatim in the source · abstract, characters 1261–1450

Title

Multiscale feature fusion and enhancement in a transformer for the fine-grained visual classification of tree species

Yanqi Dong; Zhibin Ma; Jiali Zi; et al. Ecological Informatics 2025. doi:10.1016/j.ecoinf.2025.103029

Other claims from this paper (5)

Record rev-d2e7663f1e5df000c4329a2f69dd90b33dc4618a69b531db1d180a6a978e7ee2 · schema claims-v0.9 · position 5 in the model’s answer