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Multimodal Classification on NVGesture

87.14AccuracySPICE-E
77.863280.271682.6885.0884Jun 15, 2026

Evaluation results

MethodLinks
SPICE-E2026.0687.1487.36
BSS-L2026.0686.7287.04
SPICE-S2026.0686.5186.77
BSS-H2026.0685.0685.15
AMSS2026.0684.6484.94
ReconBoost2026.0684.1386.32
MMPareto2026.0683.8284.24
ETMC2026.0683.6183.69
SMV2026.0683.5283.41
Weight2026.0683.4283.57
MLA2026.0683.483.72
ML-LSTM2026.0683.283.3
Sum2026.0682.9983.05
OGR-GB2026.0682.9983.05
MSLR2026.0682.8682.92
Affine2026.0682.7882.81
AGM2026.0682.7882.82
Depth2026.0681.5481.83
Channel2026.0681.5481.57
Concat2026.0681.3381.47
MSES2026.0681.1281.47
Video / OF2026.0678.6378.65
Audio / RGB2026.0678.2278.33