[visionlist] Special Issue: What do deep neural networks tell us about biological vision (Vision Research)
Leek, Charles
Charles.Leek at liverpool.ac.uk
Fri May 20 08:13:30 -04 2022
We are pleased to announce the publication of a Special Issue in Vision Research:
What do deep neural networks tell us about biological vision
Editors: Charles Leek (University of Liverpool, UK), Ales Leonardis & Dietmar Heinke (University of Birmingham, UK)
The issue can be accessed here: https://www.sciencedirect.com/journal/vision-research/special-issue/10LS1285VRD
What do deep neural networks tell us about biological vision?<https://www.sciencedirect.com/science/article/pii/S004269892200075X>
Dietmar Heinke, Ales Leonardis, E. Charles Leek
September 2022
Article 108069
Deep neural networks and image classification in biological vision<https://www.sciencedirect.com/science/article/pii/S0042698922000645>
E. Charles Leek, Ales Leonardis, Dietmar Heinke
August 2022
Article 108058
Deciphering image contrast in object classification deep networks<https://www.sciencedirect.com/science/article/pii/S0042698920300766>
Arash Akbarinia, Raquel Gil-Rodríguez
August 2020
Pages 61-76
Can machine learning account for human visual object shape similarity judgments?<https://www.sciencedirect.com/science/article/pii/S0042698919302147>
Joseph Scott German, Robert A. Jacobs
February 2020
Pages 87-99
Exploring biological motion perception in two-stream convolutional neural networks<https://www.sciencedirect.com/science/article/pii/S0042698920301656>
Yujia Peng, Hannah Lee, Tianmin Shu, Hongjing Lu
January 2021
Pages 28-40
Color for object recognition: Hue and chroma sensitivity in the deep features of convolutional neural networks<https://www.sciencedirect.com/science/article/pii/S004269892100016X>
Alban Flachot, Karl R. Gegenfurtner
May 2021
Pages 89-100
Color illusions also deceive CNNs for low-level vision tasks: Analysis and implications<https://www.sciencedirect.com/science/article/pii/S0042698920301243>
A. Gomez-Villa, A. Martín, J. Vazquez-Corral, M. Bertalmío, J. Malo
November 2020
Pages 156-174
Local features and global shape information in object classification by deep convolutional neural networks<https://www.sciencedirect.com/science/article/pii/S0042698920300638>
Nicholas Baker, Hongjing Lu, Gennady Erlikhman, Philip J. Kellman
July 2020
Pages 46-61
Crowding reveals fundamental differences in local vs. global processing in humans and machines<https://www.sciencedirect.com/science/article/pii/S0042698919302299>
A. Doerig, A. Bornet, O.H. Choung, M.H. Herzog
February 2020
Pages 39-45
A failure to learn object shape geometry: Implications for convolutional neural networks as plausible models of biological vision<https://www.sciencedirect.com/science/article/pii/S0042698921002017>
Dietmar Heinke, Peter Wachman, Wieske van Zoest, E. Charles Leek
December 2021
Pages 81-92
Hiding a plane with a pixel: examining shape-bias in CNNs and the benefit of building in biological constraints<https://www.sciencedirect.com/science/article/pii/S0042698920300742>
Gaurav Malhotra, Benjamin D. Evans, Jeffrey S. Bowers
September 2020
Pages 57-68
Are there any ‘object detectors’ in the hidden layers of CNNs trained to identify objects or scenes?<https://www.sciencedirect.com/science/article/pii/S0042698920301140>
Ella M. Gale, Nicholas Martin, Ryan Blything, Anh Nguyen, Jeffrey S. Bowers
November 2020
Pages 60-71
3D shape estimation in a constraint optimization neural network<https://www.sciencedirect.com/science/article/pii/S0042698920301528>
Pallavi Mishra, Sébastien Hélie
December 2020
Pages 118-129
Lessons from reinforcement learning for biological representations of space<https://www.sciencedirect.com/science/article/pii/S0042698920300997>
Alex Muryy, N. Siddharth, Nantas Nardelli, Andrew Glennerster, Philip H.S. Torr
September 2020
Pages 79-93
Time-resolved correspondences between deep neural network layers and EEG measurements in object processing<https://www.sciencedirect.com/science/article/pii/S0042698920300651>
Nathan C.L. Kong, Blair Kaneshiro, Daniel L.K. Yamins, Anthony M. Norcia
July 2020
Pages 27-45
Sent from Mail<https://go.microsoft.com/fwlink/?LinkId=550986> for Windows
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20220520/2dfa4a8e/attachment.html>
More information about the visionlist
mailing list