HWGAT

Reported on 4 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision4 results

Sign Language RecognitiononLSA64
Accuracy (%)· uses extra data· 2024-07-19
98.59
best: 100 (SPOTER)
SOTA
Hierarchical Windowed Graph Attention Network and a Large Scale Dataset for Isolated Indian Sign Language Recognition arXiv:2407.14224
Sign Language RecognitiononFDMSE-ISL
Top-1 Accuracy· 2024-07-19
93.86
SOTA
Hierarchical Windowed Graph Attention Network and a Large Scale Dataset for Isolated Indian Sign Language Recognition arXiv:2407.14224
Sign Language RecognitiononAUTSL
Rank-1 Recognition Rate· uses extra data· 2024-07-19
0.958
best: 0.9856 (STF+LSTM)
Hierarchical Windowed Graph Attention Network and a Large Scale Dataset for Isolated Indian Sign Language Recognition arXiv:2407.14224
Sign Language RecognitiononWLASL-2000
Top-1 Accuracy· uses extra data· 2024-07-19
48.49
best: 66.82 (Logos-Pretraining)
Hierarchical Windowed Graph Attention Network and a Large Scale Dataset for Isolated Indian Sign Language Recognition arXiv:2407.14224