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Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward
  Architectures and Improvements with Recurrent Connections
v1v2 (latest)

Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward Architectures and Improvements with Recurrent Connections

8 December 2021
Shobhita Sundaram
Darius Sinha
Matthew Groth
Tomotake Sasaki
Xavier Boix
ArXiv (abs)PDFHTML

Papers citing "Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward Architectures and Improvements with Recurrent Connections"

2 / 2 papers shown
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory
Andrea Perin
Stéphane Deny
472
5
0
16 Dec 2024
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2016
François Chollet
MDEBDLPINN
3.0K
16,661
0
07 Oct 2016
1