DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling

Benchmark Model Rank Results
action-recognition-in-videos-on-ntu-rgbd-120DSTSA-GCN#10Accuracy (Cross-Setup): 90.97Accuracy (Cross-Subject): 89.12
action-recognition-in-videos-on-ntu-rgbd-60DSTSA-GCN#14Accuracy (CS): 92.78Accuracy (CV): 97.03
hand-gesture-recognition-on-dhg-14DSTSA-GCN#2Accuracy: 95.04
hand-gesture-recognition-on-dhg-28DSTSA-GCN#1Accuracy: 93.57
skeleton-based-action-recognition-on-n-uclaDSTSA-GCN#10Accuracy: 96.98
skeleton-based-action-recognition-on-ntu-rgbd-120DSTSA-GCN#24Accuracy (Cross-Subject): 89.12Accuracy (Cross-Setup): 90.97
skeleton-based-action-recognition-on-ntu-rgbd-60DSTSA-GCN#31Accuracy (CS): 92.78Accuracy (CV): 97.03Ensembled Modalities: 4
skeleton-based-action-recognition-on-shrecDSTSA-GCN#228 gestures accuracy: 95.3714 gestures accuracy: 97.74