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REGION ENSEMBLE NETWORK: IMPROVING CONVOLUTIONAL NETWORK FOR HAND POSE ESTIMATION

Hand pose estimation from monocular depth images is an important and challenging problem for human-computer interaction. Recently deep convolutional networks (ConvNet) with sophisticated design have been employed to address it, but the improvement over traditional methods is not so apparent.

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Cite this as

Hengkai Guo, Guijin Wang, Xinghao Chen, Cairong Zhang, Fei Qiao, Huazhong Yang (2024). Dataset: REGION ENSEMBLE NETWORK: IMPROVING CONVOLUTIONAL NETWORK FOR HAND POSE ESTIMATION. https://doi.org/10.57702/5t5gzyje

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Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.1109/ICIP.2017.8297136
Author Hengkai Guo
More Authors
Guijin Wang
Xinghao Chen
Cairong Zhang
Fei Qiao
Huazhong Yang
Homepage https://github.com/guohengkai/