3D ResNets in Keras

Using Wide Residual Networks (WRNs) [1] and Residual of Residual Networks (RoRs) [2] for 3D object classification.

Experiments were based on the following implementations: https://github.com/titu1994/Wide-Residual-Networks https://github.com/titu1994/Residual-of-Residual-Networks

Data pre-processing was based on the code provided at: https://github.com/dimatura/voxnet

Dataset used for training:

• ModelNet10 (3dshapenets.cs.princeton.edu)

Requirements

• Python (numpy, scipy, sklearn, tarfile, zlib)
• Theano
• Keras

References

[1] https://arxiv.org/abs/1605.07146 [2] https://arxiv.org/abs/1608.02908