Learning Delicate Local Representations for Multi-Person Pose Estimation
arxiv official pytorch implemention 曠視研究院最新關於人體姿態估計的力作，最優模型在COCO test-dev刷到了79.2，rank no.1，關鍵還是幾位實習生做的，還是個98年的大佬～～ 前言 人體姿態估計是一個對位置精度要求很高的任務，它不像圖像分類對location信息要求不那麼嚴格，而是和語義分割一樣，準確的location信息對它幫助很大。之前的很
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相關文章
- 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. 人體姿態識別~HRNet論文筆記~《Deep High-Resolution Representation Learning for Human Pose Estimation》
- 10. Human Pose Estimation using Global and Local Normalization