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ResearchFormerly WizWand

Scene Classification on UCM 1.0 (50% train ratio)

99.81AccuracyViT-B
57.617268.571179.52590.4789May 6, 2022May 21, 2022Jun 6, 2022Jun 22, 2022Jul 7, 2022Jul 23, 2022Aug 8, 2022
Updated 8mo ago

Evaluation results

MethodLinks
ViT-BPretrain=MAE, Backbone=ViT-B, Method=—2022.0899.81
ViT-B + RVSAPretrain=MAE, Backbone=ViT-B + RVSA, Method=—2022.0899.7
VITAEv2-SPretrain=RSP, Backbone=VITAEv2-S, Method=—2022.0899.62
ViTAE-BPretrain=MAE, Backbone=ViTAE-B, Method=—2022.0899.6
ViT-B + RVSA♦Pretrain=MAE, Backbone=ViT-B + RVSA*, Method=—2022.0899.58
ViTAE-B + RVSAPretrain=MAE, Backbone=ViTAE-B + RVSA, Method=—2022.0899.56
ViTAE-B + RVSA♦Pretrain=MAE, Backbone=ViTAE-B + RVSA*, Method=—2022.0899.5
Swin-TPretrain=IMP, Backbone=Swin-T, Method=—2022.0899.43
VITAEv2-SPretrain=IMP, Backbone=VITAEv2-S, Method=—2022.0899.43
ViTAE-B + VSAPretrain=MAE, Backbone=ViTAE-B + VSA, Method=—2022.0899.43
ViT-B + VSAPretrain=MAE, Backbone=ViT-B + VSA, Method=—2022.0899.41
AGOSBackbone=DenseNet-121, Type=C2022.0599.34
AGOSBackbone=ResNet-101, Type=C2022.0599.29
GRMANetPretrain=IMP, Backbone=ResNet-50, Method=GRMANet [73]2022.0899.29
AGOSBackbone=ResNet-50, Type=C2022.0599.24
ViT-BPretrain=IMP, Backbone=ViT-B, Method=—2022.0899.15
DMSMILType=C, Year=20212022.0599.09
MSDFFType=C, Year=20202022.0598.85
EAMPretrain=IMP, Backbone=ResNet-101, Method=EAM [74]2022.0898.81
F2BRBMPretrain=IMP, Backbone=ResNet-50, Method=F2BRBM [5]2022.0898.64
CADNetType=C, Year=20202022.0598.57
LSENetPretrain=IMP, Backbone=VGG-16, Method=LSENet [42]2022.0898.53
MS2APType=C, Year=20212022.0598.38
LSENetType=C, Year=20212022.0597.94
MSANetPretrain=IMP, Backbone=ResNet-101, Method=MSANet [75]2022.0897.8
GBNetType=C, Year=20202022.0597.05
ARCNetType=R, Year=20182022.0596.81
DSENetType=C, Year=20212022.0596.19
RBFFPretrain=IMP, Backbone=MobileNet-V2 [78], Method=RBFF [79]2022.0895.83
APNetType=C, Year=20192022.0595.01
MIDCNetType=C, Year=20202022.0594.93
RANetType=C, Year=20202022.0594.79
SPPNetType=C, Year=20172022.0594.77
TEXNetType=C, Year=20172022.0594.22
VGGNet-16Type=C, Year=20172022.0594.14
AlexNetType=C, Year=20172022.0593.98
GoogLeNetType=C, Year=20172022.0592.7
AGANType=G, Year=20192022.0589.06
PARTLETSType=A, Year=20152022.0588.76
MARTAType=G, Year=20172022.0585.5
BOVW(SIFT)Type=H, Year=20172022.0573.48
PLSA(SIFT)Type=H, Year=20172022.0567.55
LDA(SIFT)Type=H, Year=20172022.0559.24