论文标题
多人全身姿势估计
Multi-Person Full Body Pose Estimation
论文作者
论文摘要
多人姿势估计在许多领域都起着重要作用。尽管以前的工作已经对人类姿势估计的不同部分进行了很多研究，但对多人的全身姿势估计仍然需要进一步的研究。我们的工作通过知识蒸馏开发了一个综合模型，该模型可以估计全身构成。经过基于字母系统和MSCOCO2017数据集的培训，我们的模型在我们自己手动注释的验证数据集上实现了51.5 MAP。相关资源可从https://esflfei.github.io/esflfei.gethub.io/website.html获得。
Multi-person pose estimation plays an important role in many fields. Although previous works have researched a lot on different parts of human pose estimation, full body pose estimation for multi-person still needs further research. Our work has developed an integrated model through knowledge distillation which can estimate full body poses. Trained based on the AlphaPose system and MSCOCO2017 dataset, our model achieves 51.5 mAP on the validation dataset annotated manually by ourselves. Related resources are available at https://esflfei.github.io/esflfei.gethub.io/website.html.
