Hong Liu, Jie Ma, Yujing Chai. Human Pose Estimation Model Based on Improved Hourglass Network[J]. Laser & Optoelectronics Progress, 2021, 58(20): 2015004
- Laser & Optoelectronics Progress
- Vol. 58, Issue 20, 2015004 (2021)
Fig. 1. Structure of the HN model
Fig. 2. Structure of the IHN module
Fig. 3. Structure of the prediction model
Fig. 4. Principle of expanding resolution. (a) Unpooling; (b) upsampling; (c) convolution; (d) deconvolution
Fig. 5. Experimental results of different methods on the COCO data set. (a) DeepPose[11]; (b) CPM[12]; (c) 8-SHN[13]; (d) Baseline[19]; (e) IHN-OHKM
Fig. 6. AP curves for different methods in COCO data set
Fig. 7. Detection results of our method on the COCO data set
|
Table 1. Test results of different methods on the COCO data set unit: %
|
Table 2. Calculation efficiency of different methods
|
Table 3. Test results of different methods on MPII data set unit: %
|
Table 4. Ablation experiments on the COCO validation data set
|
Table 5. Impact of different M on AP
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20