research
∙
06/11/2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales
The ability to handle large scale variations is crucial for many real wo...
research
∙
04/30/2020
Inability of spatial transformations of CNN feature maps to support invariant recognition
A large number of deep learning architectures use spatial transformation...
research
∙
04/24/2020
Understanding when spatial transformer networks do not support invariance, and what to do about it
Spatial transformer networks (STNs) were designed to enable convolutiona...
research
∙
04/03/2020
Exploring the ability of CNNs to generalise to previously unseen scales over wide scale ranges
The ability to handle large scale variations is crucial for many real wo...
research
∙
01/14/2020
The problems with using STNs to align CNN feature maps
Spatial transformer networks (STNs) were designed to enable CNNs to lear...
research
∙
10/13/2017