All Projects → yihui-he → Estimated Depth Map Helps Image Classification

yihui-he / Estimated Depth Map Helps Image Classification

Licence: mit
Depth estimation with neural network, and learning on RGBD images

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Estimated Depth Map Helps Image Classification

Yihui He, Xi'an Jiaotong University

RGBD dataset estimated depth classification

if you find our work helpful in your research, please consider citing:

@article{estimated2017he,
  title={Estimated Depth Map Helps Image Classification},
  author={He, Yihui},
  journal={arXiv preprint arXiv:1709.07077},
  year={2017}
}

how to test

  1. you can run tryhere.ipynb to test performance on RGBD and RGB images.
  2. you can do depth estimation in train/ folder

Approach

  1. train a mapping map RGB to depth
  2. convert cifar10 to images
  3. convert RGBD to cifar10 format
  4. train neural network on RGBD dataset

download

dcnf-fcsp
RGBD CIFAR-10

External Links

all dataset descriptions
a good one

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