Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object
Recognition

Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition

17 August 2015

Saeed Reza Kheradpisheh

Papers citing "Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition"

16 / 16 papers shown

Title
Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis Amir Hosein Fadaei M. Dehaqani 45 0 0 11 Feb 2025
Measuring Error Alignment for Decision-Making Systems Binxia Xu Antonis Bikakis Daniel Onah A. Vlachidis Luke Dickens 41 0 0 03 Jan 2025
Guiding Visual Attention in Deep Convolutional Neural Networks Based on Human Eye Movements Leonard E. van Dyck Sebastian J. Denzler W. Gruber 19 9 0 21 Jun 2022
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 32 2 0 04 Jan 2021
Human or Machine? It Is Not What You Write, But How You Write It Luis A. Leiva Moisés Díaz M. A. Ferrer-Ballester R. Plamondon 12 8 0 25 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency Robert Geirhos Kristof Meding Felix Wichmann 19 116 0 30 Jun 2020
Going in circles is the way forward: the role of recurrence in visual inference R. S. V. Bergen N. Kriegeskorte 17 81 0 26 Mar 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future Grace W. Lindsay MedIm 35 423 0 20 Jan 2020
Angular Visual Hardness Beidi Chen Weiyang Liu Zhiding Yu Jan Kautz Anshumali Shrivastava Animesh Garg Anima Anandkumar AAML 40 51 0 04 Dec 2019
Synthetic-Neuroscore: Using A Neuro-AI Interface for Evaluating Generative Adversarial Networks Zhengwei Wang Qi She Alan F. Smeaton T. Ward Graham Healy EGVM 13 11 0 10 May 2019
Crowding in humans is unlike that in convolutional neural networks Ben Lonnqvist A. Clarke R. Chakravarthi 19 11 0 01 Mar 2019
A Neurobiological Evaluation Metric for Neural Network Model Search Nathaniel Blanchard Jeffery Kinnison Brandon RichardWebster P. Bashivan Walter J. Scheirer 19 12 0 28 May 2018
The Roles of Supervised Machine Learning in Systems Neuroscience Joshua I. Glaser Ari S. Benjamin Roozbeh Farhoodi Konrad Paul Kording 18 114 0 21 May 2018
Indoor Space Recognition using Deep Convolutional Neural Network: A Case Study at MIT Campus Fan Zhang Fábio Duarte Ruixian Ma Dimitrios Milioris Hui-Ching Lin C. Ratti 3DV 21 22 0 07 Oct 2016
Humans and deep networks largely agree on which kinds of variation make object recognition harder Saeed Reza Kheradpisheh M. Ghodrati M. Ganjtabesh T. Masquelier OOD 27 34 0 21 Apr 2016