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Sign Language Recognition on WLASL 1.0 (test)

86.5Top-1 AccuracySiformer
49.351258.995668.6478.2844Mar 26, 2025

Evaluation results

MethodLinks
SiformerInput Modality=Skeleton-based2025.0386.5————
SignBERT+Input Modality=RGB-based2025.0384.11————
SignBERT+Input Modality=Skeleton-based2025.0379.84————
TCKInput Modality=RGB-based2025.0377.52————
Fusion-3Input Modality=RGB-based2025.0375.67————
I3DInput Modality=RGB-based2025.0365.89————
SPOTERInput Modality=Skeleton-based, Source=Original authors2025.0363.18————
SPOTERInput Modality=Skeleton-based, Source=Reproduction2025.0358.52————
Pose-TGCNInput Modality=Skeleton-based2025.0355.43————
ST-GCNInput Modality=Skeleton-based2025.0350.78————
BESTModalities=RGB2023.03—81.0194.1981.6394.67
Fusion-3Modalities=RGB2023.03—75.6786——
I3DModalities=RGB2023.03—65.8984.11——
NLA-SLRInference crops=1-crop2023.03—91.4796.992.1797.17
NLA-SLRInference crops=3-crop2023.03—92.6496.993.0897.17
PSLRModalities=Skeleton2023.03—60.1583.98——
SignBERT+Extra data=true2023.03—82.5694.9683.395
ST-GCNModalities=Keypoints2023.03—50.7879.0751.6279.47
TCK+Modalities=Skeleton2023.03—77.5291.0877.5591.42