The NGT200 Dataset: Geometric Multi-View Isolated Sign Recognition
Published in GRaM Workshop @ ICML 2024, 2024
A novel spatio-temporal multi-view benchmark for isolated sign recognition of NGT. SE(2)-equivariant Temporal-PONITA improves multi-view recognition by 8–22% over the SL-GCN baseline.
Recommended citation: Ranum, O., Wessels, D., Otterspeer, G., Bekkers, E., Roelofsen, F., Andersen, J. (2024). "The NGT200 Dataset." GRaM Workshop @ ICML 2024. https://openreview.net/forum?id=idkNzTC67X
