Pyramidal Bottleneck Residual Unit
Description
A Pyramidal Bottleneck Residual Unit is a type of residual unit where the number of channels gradually increases as a function of the depth at which the layer occurs, which is similar to a pyramid structure of which the shape gradually widens from the top downwards. It also consists of a bottleneck using 1x1 convolutions. It was introduced as part of the PyramidNet architecture.
Papers Using This Method
End-to-End Learning-Based Wireless Image Recognition Using the PyramidNet in Edge Intelligence2023-03-16Averaging Weights Leads to Wider Optima and Better Generalization2018-03-14ShakeDrop Regularization for Deep Residual Learning2018-02-07ShakeDrop regularization2018-01-01Improving Generalization Performance by Switching from Adam to SGD2017-12-20Pyramidal RoR for Image Classification2017-10-01Deep Pyramidal Residual Networks with Separated Stochastic Depth2016-12-05Deep Pyramidal Residual Networks2016-10-10