Learning Delicate Local Representations for Multi-Person Pose Estimation
arxiv official pytorch implemention 旷视研究院最新关于人体姿态估计的力作，最优模型在COCO test-dev刷到了79.2，rank no.1，关键还是几位实习生做的，还是个98年的大佬～～ 前言 人体姿态估计是一个对位置精度要求很高的任务，它不像图像分类对location信息要求不那么严格，而是和语义分割一样，准确的location信息对它帮助很大。之前的很
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相关文章
- 1. Learning Delicate Local Representations for Multi-Person Pose Estimation
- 2. Deep High-Resolution Representation Learning for Human Pose Estimation
- 3. Deep Learning Models and Code for Pose Estimation
- 4. RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation
- 5. Learning Feature Pyramids for Human Pose Estimation（理解）
- 6. 《Multi-Context Attention for Human Pose Estimation》
- 7. HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation，ICCV 2019
- 8. Multi-Context Attention for Human Pose Estimation
- 9. 人体姿态识别~HRNet论文笔记~《Deep High-Resolution Representation Learning for Human Pose Estimation》
- 10. Human Pose Estimation using Global and Local Normalization