layer_correlation_cost: Correlation Cost Layer.

In tfaddons: Interface to 'TensorFlow SIG Addons'

Description

Correlation Cost Layer.

Usage

layer_correlation_cost(
  object,
  kernel_size,
  max_displacement,
  stride_1,
  stride_2,
  pad,
  data_format,
  ...
)

Arguments

object	Model or layer object
kernel_size	An integer specifying the height and width of the patch used to compute the per-patch costs.
max_displacement	An integer specifying the maximum search radius for each position.
stride_1	An integer specifying the stride length in the input.
stride_2	An integer specifying the stride length in the patch.
pad	An integer specifying the paddings in height and width.
data_format	Specifies the data format. Possible values are: "channels_last" float [batch, height, width, channels] "channels_first" float [batch, channels, height, width] Defaults to "channels_last".
...	additional parameters to pass

Details

This layer implements the correlation operation from FlowNet Learning Optical Flow with Convolutional Networks (Fischer et al.): https://arxiv.org/abs/1504.06

Value

A tensor

tfaddons documentation built on July 2, 2020, 2:12 a.m.