Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future

20 January 2020

Papers citing "Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future"

24 / 74 papers shown

Title
Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward Architectures and Improvements with Recurrent Connections Shobhita Sundaram Darius Sinha Matthew Groth Tomotake Sasaki Xavier Boix 17 1 0 08 Dec 2021
CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and Demosaicing Nikola Janjušević Amirhossein Khalilian-Gourtani Yao Wang 6 14 0 02 Dec 2021
A model of semantic completion in generative episodic memory Zahra Fayyaz Aya Altamimi Sen Cheng Laurenz Wiskott 18 21 0 26 Nov 2021
Attention module improves both performance and interpretability of 4D fMRI decoding neural network Zhoufan Jiang Yanming Wang Chenwei Shi Yueyang Wu Rongjie Hu Shishuo Chen Sheng Hu Xiaoxiao Wang B. Qiu 14 2 0 03 Oct 2021
Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework Zhuowen Zou H. Alimohamadi Farhad Imani Yeseong Kim Mohsen Imani 26 19 0 01 Oct 2021
Deep Spiking Neural Networks with Resonate-and-Fire Neurons Badr AlKhamissi Muhammad N. ElNokrashy D. Bernal-Casas 29 5 0 16 Sep 2021
Do Vision Transformers See Like Convolutional Neural Networks? M. Raghu Thomas Unterthiner Simon Kornblith Chiyuan Zhang Alexey Dosovitskiy ViT 12 922 0 19 Aug 2021
Detecting Visual Design Principles in Art and Architecture through Deep Convolutional Neural Networks Gozdenur Demir A. Cekmis V. B. Yesilkaynak Gozde Unal 11 27 0 09 Aug 2021
Immuno-mimetic Deep Neural Networks (Immuno-Net) Ren Wang Tianqi Chen Stephen Lindsly Cooper M. Stansbury I. Rajapakse Alfred Hero 6 3 0 27 Jun 2021
Towards Biologically Plausible Convolutional Networks Roman Pogodin Yash Mehta Timothy Lillicrap P. Latham 24 22 0 22 Jun 2021
A Spiking Neural Network for Image Segmentation Kinjal Patel Eric Hunsberger Sean Batir C. Eliasmith 6 38 0 16 Jun 2021
Understanding top-down attention using task-oriented ablation design Freddie Bickford-Smith Brett D. Roads Xiaoliang Luo Bradley C. Love 38 1 0 08 Jun 2021
How saccadic vision might help with theinterpretability of deep networks Iana Sereda Grigory V. Osipov FAtt 25 0 0 27 May 2021
Robust 3D U-Net Segmentation of Macular Holes Jonathan Frawley Chris G. Willcocks M. Habib Caspar Geenen D. Steel B. Obara MedIm 3DPC 10 1 0 01 Mar 2021
Understanding Attention: In Minds and Machines S. P. Sawant Shruti Singh 8 1 0 04 Dec 2020
Supervised dimensionality reduction by a Linear Discriminant Analysis on pre-trained CNN features Francisco J. H. Heras G. G. Polavieja 13 3 0 22 Jun 2020
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs Beren Millidge Alexander Tschantz Christopher L. Buckley 11 118 0 07 Jun 2020
From Boundaries to Bumps: when closed (extremal) contours are critical B. Kunsberg Steven W. Zucker 19 11 0 16 May 2020
Brain-like approaches to unsupervised learning of hidden representations -- a comparative study Naresh B. Ravichandran A. Lansner Pawel Herman BDL SSL 6 12 0 06 May 2020
PreCNet: Next-Frame Video Prediction Based on Predictive Coding Z. Straka Tomáš Svoboda Matej Hoffmann 6 17 0 30 Apr 2020
Attention-based Assisted Excitation for Salient Object Detection Saeed Masoudnia Melika Kheirieh A. Vahabie Babak Nadjar Araabi 11 0 0 31 Mar 2020
Learning representations in Bayesian Confidence Propagation neural networks Naresh B. Ravichandran A. Lansner Pawel Herman BDL SSL 4 14 0 27 Mar 2020
Revisiting the Importance of Individual Units in CNNs via Ablation Bolei Zhou Yiyou Sun David Bau Antonio Torralba FAtt 52 116 0 07 Jun 2018
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 243 890 0 11 Nov 2017