Keras Non-Local Neural Networks

Keras implementation of Non-local blocks from [1].

• Support for "Gaussian", "Embedded Gaussian" and "Dot" instantiations of the Non-Local block.
• Support for variable shielded computation mode (reduces computation by N**2 x, where N is default to 2)
• Support for "Concatenation" instantiation will be supported when authors release their code.

Usage Templates

The script non_local.py contains the NonLocalBlock instance which takes in an input tensor and wraps a non-local block around it.

from non_local import NonLocalBlock
from tensorflow.keras.layers import Input, Conv1D, Conv2D, Conv3D

ip = Input(shape=(...))  # input tensor with an "N" rank order of 3, 4 or 5
x = ConvND(...)         # convolution operation with aforementioned rank 
...
non_local_block = NonLocalBlock(intermediate_dim=None, compression=2, mode='embedded', add_residual=True)
x = non_local_block(x)
...

The script non_local_layerstyle.py contains the NonLocalBlock layer which takes in an input tensor and wraps a non-local block around it. Made to facilitate the neural network builder using the Sequential method.

from non_local_layerstyle import NonLocalBlock
from tensorflow.keras.layers import Input, Conv1D, Conv2D, Conv3D

# Define the input shape
input_shape = (...)  # shape of input tensor

model = Sequential()
model.add(ConvND(...))         # convolution operation with an "N" rank order of 3, 4 or 5
...
model.add(NonLocalBlock(intermediate_dim=None, compression=2, mode='embedded', add_residual=True))
...

Basic block

From [1], a basic Non-Local block with the Embedded Gaussian instantiation has the below logic:

1. Xiaolong Wang, Ross Girshick, Abhinav Gupta, Kaiming He. "Non-local Neural Networks." arXiv:1711.07971 [cs.CV], 21 Nov 2017. Link