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SOTA
Sign Language Recognition
Sign Language Recognition On Wlasl100
Sign Language Recognition On Wlasl100
Metrics
Top-1 Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
Top-1 Accuracy
Paper Title
Repository
SPOTER
63.18
Sign Pose-Based Transformer for Word-Level Sign Language Recognition
StepNet
78.29
StepNet: Spatial-temporal Part-aware Network for Isolated Sign Language Recognition
-
Siformer
86.50
Siformer: Feature-isolated Transformer for Efficient Skeleton-based Sign Language Recognition
I3D
65.89
Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison
Uni-Sign
92.25
Uni-Sign: Toward Unified Sign Language Understanding at Scale
-
I3D, ST-GCN
81.38
Word-level Sign Language Recognition with Multi-stream Neural Networks Focusing on Local Regions and Skeletal Information
-
SignBERT
83.30
SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition
-
0 of 7 row(s) selected.
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