Hanbing Qu, Zhentang Jia. Lightweight and High-Resolution Human Pose Estimation Method[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1810012
- Laser & Optoelectronics Progress
- Vol. 59, Issue 18, 1810012 (2022)
Fig. 1. Network structure
Fig. 2. DenseNet
Fig. 3. Improved dense network module. (a) Residual unit; (b) dense cell
Fig. 4. Comparison of fusion methods. (a) Final fusion method of original HRNet; (b) improved final fusion method
Fig. 5. Model training loss function curve. (a) First stage loss value; (b) second stage loss value
Fig. 6. Comparison of prediction accuracy of various parts of different methods
Fig. 7. Validation results. (a) Key parts overlap detection map;(b) obstacle occlusion detection map;(c) multi-person detection map
Fig. 8. Sample analysis of insufficient model performance
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Table 1. Key points in COCO dataset
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Table 2. Validation and comparison of different methods under COCO dataset
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Table 3. Comparison of different methods under MPII dataset
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Table 4. Ablation experiment under COCO validation dataset
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Table 5. Speed real-time comparison
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