Action Recognition on NTU-Fi-HAR
100AccuracyYi et al.
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Yi et al.FLOPS (M)=553.872026.06 | 100 | — | — | — | |
| Tan et al.FLOPS (M)=421.77, Parameters (M)=2.3092026.06 | 100 | — | — | — | |
| Lightweight TCNFLOPS (M)=49.82, Parameters (M)=0.4592026.06 | 100 | — | — | — | |
| BiLSTM*FLOPS (M)=105.09, Parameters (M)=0.2092026.06 | 99.69 | — | — | — | |
| Li et al.FLOPS (M)=75.02, Parameters (M)=0.5702026.06 | 99.69 | — | — | — | |
| ResNet50*FLOPS (M)=90.66, Parameters (M)=23.5502026.06 | 99.38 | — | — | — | |
| Liu et al.FLOPS (M)=102.61, Parameters (M)=11.2702026.06 | 99.27 | — | — | — | |
| CNN2026.03 | 98.6 | 98.72 | 98.7 | 96.96 | |
| Luo et al.Parameters (M)=2.3002026.06 | 98.2 | — | — | — | |
| LSTM2026.03 | 97.7 | 96.95 | 98.19 | 96.96 | |
| GRU*FLOPS (M)=39.39, Parameters (M)=0.0792026.06 | 97.66 | — | — | — | |
| LSTM*FLOPS (M)=52.54, Parameters (M)=0.1052026.06 | 97.14 | — | — | — | |
| Wi-Spike2026.03 | 96.97 | 96.93 | 97.06 | 96.9 | |
| ResNet18*FLOPS (M)=54.19, Parameters (M)=11.1802026.06 | 95.31 | — | — | — | |
| Resnet182026.03 | 95.19 | 95.2 | 95.21 | 95.19 | |
| ViT*FLOPS (M)=501.64, Parameters (M)=1.0522026.06 | 93.75 | — | — | — | |
| ViT2026.03 | 93.18 | 93.02 | 93.95 | 93.08 | |
| CNN+GRU2026.03 | 92.05 | 91.92 | 93.19 | 92.05 | |
| RNN*FLOPS (M)=13.09, Parameters (M)=0.0272026.06 | 84.64 | — | — | — |