DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
摘要 DeepPrior[18]是一种基于深度学习的简单方法，可以在给定深度图的情况下预测手的关节3D位置。自2015年初公布以来，在一些令人印象深刻的工作中表现优异。在这里，我们通过简单的改进表明：添加ResNet层，数据增强和更好的初始手部定位，我们在三个主要基准（NYU，ICVL，MSRA）上实现了比更复杂的最新方法更好或更相似的性能，同时保持了原始方法的简单性。我们的新实现可在http
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相关文章
- 1. V2V-PoseNet:Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from...
- 2. paper 154：姿态估计（Hand Pose Estimation）相关总结
- 3. 手势估计- Hand Pose Estimation
- 4. Toward fast and accurate human pose estimation via soft-gated skip connections
- 5. Fast Human Pose Estimation
- 6. 论文解读：3D Hand Shape and Pose Estimation from a Singl RGB Image
- 7. 3D Human Pose Estimation = 2D Pose Estimation + Matching(2017)
- 8. Real-time 3D Hand Pose Estimation with 3D Convolutional Neural Networks
- 9. HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation，ICCV 2019
- 10. Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation