DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
摘要 DeepPrior[18]是一種基於深度學習的簡單方法，可以在給定深度圖的情況下預測手的關節3D位置。自2015年初公佈以來，在一些令人印象深刻的工作中表現優異。在這裏，我們通過簡單的改進表明：添加ResNet層，數據增強和更好的初始手部定位，我們在三個主要基準（NYU，ICVL，MSRA）上實現了比更復雜的最新方法更好或更相似的性能，同時保持了原始方法的簡單性。我們的新實現可在http
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相關文章
- 1. V2V-PoseNet:Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from...
- 2. paper 154：姿態估計（Hand Pose Estimation）相關總結
- 3. 手勢估計- Hand Pose Estimation
- 4. Toward fast and accurate human pose estimation via soft-gated skip connections
- 5. Fast Human Pose Estimation
- 6. 論文解讀：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