Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 7, 955(2023)
Improved lightweight human pose estimation algorithm
Figures & Tables(7)
Fig. 4. Effect comparison of the original YOLO-Pose algorithm and the proposed algorithm for human pose estimation
Table 1. Performance comparison of lightweight human object detection algorithms
View tableView in ArticleTable 1. Performance comparison of lightweight human object detection algorithms
Model Model Size/M FLOPs/G Input Size mAP/% AP50/% Speed/ms YOLOv3-tiny 8.66 12.9 640×640 43.4 77.6 9.3 CBAM-YOLOv3 8.68 12.9 640×640 43.8 78.7 9.3 LCSA-YOLOv3 8.68 12.9 640×640 51.8 83.6 9.4 YOLOv5s 7.01 15.8 640×640 57.7 84.8 16.2 CBAM-YOLOv5s 7.03 15.8 640×640 64.2 89.4 16.3 LCSA-YOLOv5s 7.02 15.8 640×640 64.9 89.0 16.3
Table 2. Performance comparison of LCSA-Net used for HigherHRNet model
View tableView in ArticleTable 2. Performance comparison of LCSA-Net used for HigherHRNet model
Model Model size/M Input Size mAP/% AP50/% AP75/% APM/% APL/% HigherHRNet 28.6 512×512 66.6 86.2 72.6 61.1 75.2 LCSA-HrHRNet 28.6 512×512 67.0 86.3 72.8 61.7 75.5
Table 3. Performance comparison of YOLO-Pose models under different improved strategies
View tableView in ArticleTable 3. Performance comparison of YOLO-Pose models under different improved strategies
LCSA-Net DAW Model size/M mAP/% AP50/% AR/% 12.54 50.8 80.3 57.9 √ 12.56 52.5 80.8 59.4 √ 12.54 51.7 81.1 58.7 √ √ 12.56 52.8 81.8 59.6
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Ming-he WANG, Wang-ming XU, Hao-kun JIANG. Improved lightweight human pose estimation algorithm[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(7): 955
Paper Information
Category: Research Articles
Received: Oct. 5, 2022
Accepted: --
Published Online: Jul. 31, 2023
The Author Email: Wang-ming XU (xuwangming@wust.edu.cn)
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