ResNet3D-TF2

This is a python code of ResNet3D model based on tensorflow 2.3.0 via subclassing.

environment

python 3
tensorflow 2.3.0

reference

Hara, Kensho, Hirokatsu Kataoka, and Yutaka Satoh. "Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet?." In Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, pp. 6546-6555. 2018.

input data

The input data format is default as NxHxWxDxC, namely data_format="channels_last".

output data

The output is a batch of 2-node logits, namely pre-softmax.