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"

12 / 12 papers shown

Title
Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis Amir Hosein Fadaei M. Dehaqani 40 0 0 11 Feb 2025
Measuring Error Alignment for Decision-Making Systems Binxia Xu Antonis Bikakis Daniel Onah A. Vlachidis Luke Dickens 34 0 0 03 Jan 2025
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 24 2 0 04 Jan 2021
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 20 79 0 17 Sep 2020
Going in circles is the way forward: the role of recurrence in visual inference R. S. V. Bergen N. Kriegeskorte 9 81 0 26 Mar 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future Grace W. Lindsay MedIm 13 423 0 20 Jan 2020
Angular Visual Hardness Beidi Chen Weiyang Liu Zhiding Yu Jan Kautz Anshumali Shrivastava Animesh Garg Anima Anandkumar AAML 32 51 0 04 Dec 2019
Synthetic-Neuroscore: Using A Neuro-AI Interface for Evaluating Generative Adversarial Networks Zhengwei Wang Qi She A. Smeaton T. Ward Graham Healy EGVM 6 11 0 10 May 2019
Crowding in humans is unlike that in convolutional neural networks Ben Lonnqvist A. Clarke R. Chakravarthi 11 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 11 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 8 114 0 21 May 2018
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 19 34 0 21 Apr 2016