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Image Classification on RESISC-45 (val)

97.4Top-1 AccuracyDOFA
81.38485.54289.793.858Nov 15, 2019Dec 2, 2020Dec 20, 2021Jan 8, 2023Jan 26, 2024Feb 12, 2025Mar 3, 2026
Updated 8mo ago

Evaluation results

MethodLinks
DOFAPre-training Data=DOFA [46], Evaluation Protocol=full fine-tuning2026.0397.4
InDomainReference=Ours, Fine-tuning=In-domain2019.1196.83
ScaleMAEPre-training Data=fMoW [8], Evaluation Protocol=full fine-tuning2026.0396.6
NeighborMAEPre-training Data=fMoW [8], Evaluation Protocol=full fine-tuning2026.0396.6
SatMAE++Pre-training Data=fMoW [8], Evaluation Protocol=full fine-tuning2026.0396.2
MAEPre-training Data=fMoW [8], Evaluation Protocol=full fine-tuning2026.0396
SatMAEPre-training Data=fMoW [8], Evaluation Protocol=full fine-tuning2026.0395.6
NeighborMAEPre-training Data=Satl. [41], Evaluation Protocol=full fine-tuning2026.0395.6
MAEPre-training Data=Satl. [41], Evaluation Protocol=full fine-tuning2026.0395
Temporal SatMAEPre-training Data=fMoW [8], Evaluation Protocol=full fine-tuning2026.0394.5
DOFAPre-training Data=DOFA [46], Evaluation Protocol=frozen backbone2026.0394.5
ScaleMAEPre-training Data=fMoW [8], Evaluation Protocol=frozen backbone2026.0392.2
CrossScale MAEPre-training Data=fMoW [8], Evaluation Protocol=full fine-tuning2026.0391.1
NeighborMAEPre-training Data=fMoW [8], Evaluation Protocol=frozen backbone2026.0391
Cheng et al.Reference=Cheng et al. (2017)2019.1190.36
MAEPre-training Data=fMoW [8], Evaluation Protocol=frozen backbone2026.0389.8
NeighborMAEPre-training Data=Satl. [41], Evaluation Protocol=frozen backbone2026.0388.5
MAEPre-training Data=Satl. [41], Evaluation Protocol=frozen backbone2026.0387.7
CrossScale MAEPre-training Data=fMoW [8], Evaluation Protocol=frozen backbone2026.0387.2
SatMAEPre-training Data=fMoW [8], Evaluation Protocol=frozen backbone2026.0386.4
SatMAE++Pre-training Data=fMoW [8], Evaluation Protocol=frozen backbone2026.0386.4
Temporal SatMAEPre-training Data=fMoW [8], Evaluation Protocol=frozen backbone2026.0382