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Learning Translation Invariance in CNNs

Learning Translation Invariance in CNNs

6 November 2020
Valerio Biscione
J. Bowers
    SSL
ArXiv (abs)PDFHTML

Papers citing "Learning Translation Invariance in CNNs"

7 / 7 papers shown
Title
Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models
Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models
Mishal Fatima
Steffen Jung
Margret Keuper
211
1
0
06 May 2025
Evaluating the Robustness of Interpretability Methods through
  Explanation Invariance and Equivariance
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and EquivarianceNeural Information Processing Systems (NeurIPS), 2023
Jonathan Crabbé
M. Schaar
AAML
189
13
0
13 Apr 2023
What Affects Learned Equivariance in Deep Image Recognition Models?
What Affects Learned Equivariance in Deep Image Recognition Models?
Robert-Jan Bruintjes
Tomasz Motyka
Jan van Gemert
268
11
0
05 Apr 2023
Neuromorphic Visual Scene Understanding with Resonator Networks
Neuromorphic Visual Scene Understanding with Resonator Networks
Alpha Renner
Lazar Supic
Andreea Danielescu
Giacomo Indiveri
Bruno A. Olshausen
Yulia Sandamirskaya
Friedrich T. Sommer
E. P. Frady
324
25
0
26 Aug 2022
Why Do Self-Supervised Models Transfer? Investigating the Impact of
  Invariance on Downstream Tasks
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream TasksBritish Machine Vision Conference (BMVC), 2021
Linus Ericsson
Henry Gouk
Timothy M. Hospedales
SSL
129
15
0
22 Nov 2021
Learning Online Visual Invariances for Novel Objects via Supervised and
  Self-Supervised Training
Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training
Valerio Biscione
J. Bowers
254
12
0
04 Oct 2021
Generalisation in Neural Networks Does not Require Feature Overlap
Generalisation in Neural Networks Does not Require Feature Overlap
Jeff Mitchell
J. Bowers
OODMLT
54
1
0
04 Jul 2021
1