Continual Spatio-Temporal Graph Convolutional Networks

Benchmark Model Rank Results
skeleton-based-action-recognition-on-kineticsAGCN (2-stream)#13Accuracy: 36.9GFLOPS per prediction: 26.91
skeleton-based-action-recognition-on-kineticsAGCN (1-stream)#14Accuracy: 35GFLOPS per prediction: 13.45
skeleton-based-action-recognition-on-kineticsS-TR (2-stream)#17Accuracy: 34.7GFLOPS per prediction: 23.24
skeleton-based-action-recognition-on-kineticsST-GCN (2-stream)#18Accuracy: 34.4GFLOPS per prediction: 24.09
skeleton-based-action-recognition-on-kineticsST-GCN (1-stream)#19Accuracy: 33.4GFLOPS per prediction: 12.04
skeleton-based-action-recognition-on-kineticsCoST-GCN (2-stream)#20Accuracy: 33.1GFLOPS per prediction: 0.32
skeleton-based-action-recognition-on-kineticsCoAGCN (1-stream)#21Accuracy: 33GFLOPS per prediction: 0.18
skeleton-based-action-recognition-on-kineticsCoS-TR (2-stream)#22Accuracy: 32.7GFLOPS per prediction: 0.31
skeleton-based-action-recognition-on-kineticsCoST-GCN* (2-stream)#23Accuracy: 32.2GFLOPS per prediction: 0.22
skeleton-based-action-recognition-on-kineticsS-TR (1-stream)#24Accuracy: 32GFLOPS per prediction: 11.62
skeleton-based-action-recognition-on-kineticsCoST-GCN (1-stream)#25Accuracy: 31.8GFLOPS per prediction: 0.16
skeleton-based-action-recognition-on-kineticsCoST-GCN* (1-stream)#27Accuracy: 30.2GFLOPS per prediction: 0.11
skeleton-based-action-recognition-on-kineticsCoS-TR* (2-stream)#28Accuracy: 29.9GFLOPS per prediction: 0.22
skeleton-based-action-recognition-on-kineticsCoS-TR (1-stream)#29Accuracy: 29.7
skeleton-based-action-recognition-on-kineticsCoAGCN* (2-stream)#30Accuracy: 27.5GFLOPS per prediction: 0.25
skeleton-based-action-recognition-on-kineticsCoS-TR* (1-stream)#31Accuracy: 27.4GFLOPS per prediction: 0.11
skeleton-based-action-recognition-on-kineticsCoAGCN* (1-stream)#32Accuracy: 23.3GFLOPS per prediction: 0.12
skeleton-based-action-recognition-on-kineticsCoAGCN (2-stream)#33GFLOPS per prediction: 0.36
skeleton-based-action-recognition-on-ntu-rgbd-120S-TR (2-stream)#43Accuracy (Cross-Subject): 84.8Accuracy (Cross-Setup): 86.2
skeleton-based-action-recognition-on-ntu-rgbd-120CoS-TR* (2-stream)#44Accuracy (Cross-Subject): 84.8Accuracy (Cross-Setup): 86.1
skeleton-based-action-recognition-on-ntu-rgbd-120CoST-GCN* (2-stream)#47Accuracy (Cross-Subject): 84.0Accuracy (Cross-Setup): 85.5
skeleton-based-action-recognition-on-ntu-rgbd-120AGCN (2-stream)#48Accuracy (Cross-Subject): 84Accuracy (Cross-Setup): 85.4
skeleton-based-action-recognition-on-ntu-rgbd-120ST-GCN (2-stream)#49Accuracy (Cross-Subject): 83.7Accuracy (Cross-Setup): 85.1
skeleton-based-action-recognition-on-ntu-rgbd-120CoAGCN* (2-stream)#54Accuracy (Cross-Subject): 80.4Accuracy (Cross-Setup): 82
skeleton-based-action-recognition-on-ntu-rgbd-120S-TR (1-stream)#55Accuracy (Cross-Subject): 80.2Accuracy (Cross-Setup): 81.8
skeleton-based-action-recognition-on-ntu-rgbd-120CoS-TR* (1-stream)#56Accuracy (Cross-Subject): 79.7Accuracy (Cross-Setup): 81.7
skeleton-based-action-recognition-on-ntu-rgbd-120AGCN (1-stream)#57Accuracy (Cross-Subject): 79.7Accuracy (Cross-Setup): 80.7
skeleton-based-action-recognition-on-ntu-rgbd-120CoST-GCN* (1-stream)#58Accuracy (Cross-Subject): 79.4Accuracy (Cross-Setup): 81.6
skeleton-based-action-recognition-on-ntu-rgbd-120ST-GCN (1-stream)#59Accuracy (Cross-Subject): 79GFLOPS per prediction: 16.73
skeleton-based-action-recognition-on-ntu-rgbd-120CoAGCN* (1-stream)#60Accuracy (Cross-Subject): 77.3Accuracy (Cross-Setup): 79.1
skeleton-based-action-recognition-on-ntu-rgbd-60CoS-TR* (2-stream)#58Accuracy (CS): 88.9Accuracy (CV): 94.8GFLOPs per pred: 0.3
skeleton-based-action-recognition-on-ntu-rgbd-60CoST-GCN* (2-stream)#60Accuracy (CS): 88.3Accuracy (CV): 95GFLOPs per pred: 0.32
skeleton-based-action-recognition-on-ntu-rgbd-60CoST-GCN*#70Accuracy (CS): 86.3Accuracy (CV): 93.8GFLOPs per pred: 0.16
skeleton-based-action-recognition-on-ntu-rgbd-60CoS-TR*#71Accuracy (CS): 86.3Accuracy (CV): 92.4GFLOPs per pred: 0.15
skeleton-based-action-recognition-on-ntu-rgbd-60ST-GCN#72Accuracy (CS): 86Accuracy (CV): 93.4GFLOPs per pred: 16.73
skeleton-based-action-recognition-on-ntu-rgbd-60CoAGCN* (2-stream)#73Accuracy (CS): 86.0Accuracy (CV): 93.1GFLOPs per pred: 0.44
skeleton-based-action-recognition-on-ntu-rgbd-60CoAGCN*#77Accuracy (CS): 84.1Accuracy (CV): 92.6