Sign Language Recognition on WLASL100
90AccuracyTwo-stream multistage graph convolutional model
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Two-stream multistage graph convolutional modelComputing Platform=A two-stream multistage graph convolutional model with attention and residual connections designed to extract spatiotemporal contextual information.2026.01 | 90 | — | |
| Pose-based temporal graph convolution networksComputing Platform=Pose-based temporal graph convolution networks and comparison with an inflated 3D convolutional network.2026.01 | 64 | — | |
| Bidirectional ESNDirectionality=bi-directional, Feature Extractor=MediaPipe2025.11 | 57.71 | — | |
| Standard single ESNDirectionality=uni-directional, Feature Extractor=MediaPipe2025.11 | 54.31 | — | |
| Bi-GRUFeature Extractor=MediaPipe2025.11 | 49.9 | — |