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ResearchFormerly WizWand

Scene Classification on NWPU-RESISC45 (20% Train, Test Split)

95.82Overall AccuracyViTAE-B
42.93656.665570.39584.1245May 6, 2022May 21, 2022Jun 6, 2022Jun 22, 2022Jul 7, 2022Jul 23, 2022Aug 8, 2022
Updated 8mo ago

Evaluation results

MethodLinks
ViTAE-BPretrain=MAE, Backbone=ViTAE-B, Method=—2022.0895.82
ViT-BPretrain=MAE, Backbone=ViT-B, Method=—2022.0895.78
ViTAE-B + RVSAPretrain=MAE, Backbone=ViTAE-B + RVSA, Method=—2022.0895.69
RingMoPretrain=RingMo [32], Backbone=Swin-B, Method=—2022.0895.67
ViTAE-B + RVSA♦Pretrain=MAE, Backbone=ViTAE-B + RVSA*, Method=—2022.0895.66
VITAEv2-SPretrain=RSP, Backbone=VITAEv2-S, Method=—2022.0895.6
ViTAE-B + VSAPretrain=MAE, Backbone=ViTAE-B + VSA, Method=—2022.0895.53
ViT-B + RVSAPretrain=MAE, Backbone=ViT-B + RVSA, Method=—2022.0895.49
ViT-B + RVSA♦Pretrain=MAE, Backbone=ViT-B + RVSA*, Method=—2022.0895.45
MGML-FENetPretrain=IMP, Backbone=DenseNet-121, Method=MGML-FENet [77]2022.0895.39
RingMoPretrain=RingMo [32], Backbone=ViT-B, Method=—2022.0895.35
VITAEv2-SPretrain=IMP, Backbone=VITAEv2-S, Method=—2022.0895.29
ViT-B + VSAPretrain=MAE, Backbone=ViT-B + VSA, Method=—2022.0895.29
AGOSBackbone=DenseNet-121, Type=CNN2022.0594.91
F2BRBMPretrain=IMP, Backbone=ResNet-50, Method=F2BRBM [5]2022.0894.87
GRMANetPretrain=IMP, Backbone=ResNet-50, Method=GRMANet [73]2022.0894.72
Swin-TPretrain=IMP, Backbone=Swin-T, Method=—2022.0894.7
AGOSBackbone=ResNet-101, Type=CNN2022.0594.69
MBLANetType=CNN2022.0594.66
CADNetType=CNN2022.0594.58
EAMPretrain=IMP, Backbone=ResNet-101, Method=EAM [74]2022.0894.29
AGOSBackbone=ResNet-50, Type=CNN2022.0594.28
ViT-BPretrain=IMP, Backbone=ViT-B, Method=—2022.0893.96
MSDFFType=CNN2022.0593.55
MSANetPretrain=IMP, Backbone=ResNet-101, Method=MSANet [75]2022.0893.52
LSENetPretrain=IMP, Backbone=VGG-16, Method=LSENet [42]2022.0893.34
LiGNetType=CNN2022.0593.25
LSENetType=CNN2022.0593.14
DMSMILType=CNN2022.0593.05
MG-CAPType=CNN2022.0592.95
MF2NetType=CNN2022.0592.73
DCNNType=CNN2022.0591.89
MS2APType=CNN2022.0590.98
Contourlet CNNType=CNN2022.0589.57
MSCPType=CNN2022.0588.93
RBFFPretrain=IMP, Backbone=MobileNet-V2 [78], Method=RBFF [79]2022.0888.05
RANetType=CNN2022.0587.63
MIDCNetType=CNN2022.0587.32
SPPNetType=CNN2022.0584.64
AlexNetType=CNN2022.0579.85
VGGNet-16Type=CNN2022.0579.79
GoogLeNetType=CNN2022.0578.48
AGANType=GAN2022.0577.99
MARTAType=GAN2022.0575.03
BoVW(SIFT)Type=Hand-crafted2022.0544.97