# Three-Dimensional Human Pose Estimation with Spatial-Temporal Interaction Enhancement Transformer
## 4 Experiments
### Results
#### 4.3.2 Computation Complexity Analysis  
Table 2 compares the computational complexity, MPJPE, and frames per second (FPS) with several previous methods on Human 3.6M. For the number of parameter analysis, our method was lower than the previous one with a significant increase in accuracy. Moreover, as can be seen in Table 3, the number of parameters of STFormer hardly increased with the number of receptive fields (\(f\)). Regarding the floating-point operations (FLOPs), the proposed method was not the best in comparison to the other methods. However, compared with the same Transformer-based approaches (PoseFormer [8] and CrossFormer [30]), our method was much lower in terms of FLOPs. Additionally, although the inference speed of the proposed model was lower than the other methods in Table 2, it still had an acceptable FPS for real-time inference [11].  
\begin{table}
\begin{tabular}{l c c c c c c c c c c c c c c c} \hline \hline
**Protocol 1** & **Dir** & **Disc** & **Eat** & **Greet** & **Phone** & **Photo** & **Pose** & **Purch** & **Sit** & **SitD** & **Smoke** & **Wait** & **WalkD** & **WalkT** & **Avg** \\ \hline [PERSON] et al. [29] & 51.8 & 56.2 & 58.1 & 59.0 & 69.5 & 78.4 & 55.2 & 58.1 & 74.0 & 94.6 & 62.3 & 59.1 & 65.1 & 49.5 & 52.4 & 62.9 \\ [PERSON] et al. [41] & 50.1 & 54.3 & 57.0 & 57.1 & 66.6 & 73.3 & 53.4 & 55.7 & 72.8 & 88.6 & 60.3 & 57.7 & 62.7 & 47.5 & 50.6 & 60.4 \\ [PERSON] et al. [28] & 48.4 & 50.7 & 57.2 & 55.2 & 63.1 & 72.6 & 53.0 & 51.7 & 66.1 & 80.9 & 59.0 & 57.3 & 62.4 & 46.6 & 49.6 & 58.3 \\ [PERSON] et al. [42] & 40.2 & 49.2 & 47.8 & 52.6 & 50.1 & 75.0 & 50.2 & 43.0 & 55.8 & 73.9 & 54.1 & 55.6 & 58.2 & 43.3 & 43.3 & 52.8 \\ [PERSON] et al. [14] & - & - & - & - & - & - & - & - & - & - & - & - & - & - & 49.8 \\ [PERSON] et al. [15] & 44.6 & 47.4 & 45.6 & 48.8 & 50.8 & 59.0 & 47.2 & 43.9 & 57.9 & 61.9 & 49.7 & 46.6 & 51.3 & 37.1 & 39.4 & 48.8 \\ METRO [26] & - & - & - & - & - & - & - & - & - & - & - & - & - & - & - & 54.0 \\ GraphSH [43] & 45.2 & 49.9 & 47.5 & 50.9 & 54.9 & 66.1 & 48.5 & 46.3 & 59.7 & 71.5 & 51.4 & 48.6 & 53.9 & 39.9 & 44.1 & 51.9 \\ PoseFormer [8] & - & - & - & - & - & - & - & - & - & - & - & - & - & - & - & 49.9 \\ MGCN [44] & 45.4 & 49.2 & 45.7 & 49.4 & 50.4 & 58.2 & 47.9 & 46.0 & 57.5 & 63.0 & 49.7 & 46.6 & 52.2 & 38.9 & 40.8 & 49.4 \\ \hline STFormer (Ours) & 43.6 & 47.3 & 45.3 & 46.5 & 48.3 & 56.5 & 44.7 & 43.3 & 57.3 & 66.9 & 48.4 & 44.7 & 49.9 & 35.6 & 38.6 & 47.8 \\ \hline
**Protocol 2** & **Dir** & **Disc** & **Eat** & **Greet** & **Phone** & **Photo** & **Pose** & **Purch** & **Sit** & **SitD** & **Smoke** & **Wait** & **WalkD** & **WalkT** & **Avg** \\ \hline [PERSON] et al. [29] & 39.5 & 43.2 & 46.4 & 47.0 & 51.0 & 56.0 & 41.4 & 40.6 & 56.5 & 49.4 & 49.2 & 45.0 & 49.5 & 38.0 & 43.1 & 47.7 \\ [PERSON] et al. [41] & 38.2 & 41.7 & 43.7 & 44.9 & 48.5 & 55.3 & 40.2 & 38.2 & 54.5 & 64.4 & 47.2 & 44.3 & 47.3 & 36.7 & 41.7 & 45.7 \\ [PERSON] et al. [28] & 35.7 & 39.3 & 44.6 & 43.0 & 47.2 & 54.0 & 38.3 & 37.5 & 51.6 & 61.3 & 46.5 & 41.4 & 47.3 & 34.2 & 39.4 & 44.1 \\ [PERSON] et al. [42] & 34.9 & 35.2 & 43.2 & 42.6 & 46.2 & 55.0 & 37.6 & 38.8 & 50.9 & 67.3 & 48.9 & 35.2 & 50.7 & 31.0 & 34.6 & 43.4 \\ [PERSON] et al. [25] & 34.7 & 39.8 & 41.8 & 38.6 & 42.5 & 47.5 & 38.0 & 36.6 & 50.7 & 56.8 & 42.6 & 39.6 & 43.9 & 32.1 & 36.5 & 41.8 \\ [PERSON] et al. [15] & 35.7 & 37.8 & 36.9 & 40.7 & 39.6 & 45.2 & 37.4 & 34.5 & 46.9 & 50.1 & 40.5 & 36.1 & 41.0 & 29.6 & 33.2 & 39.0 \\ [PERSON] et al. [23] & 35.9 & 4