Going in circles is the way forward: the role of recurrence in visual inference

26 March 2020

Papers citing "Going in circles is the way forward: the role of recurrence in visual inference"

27 / 27 papers shown

Title
Multimodal Visual-haptic pose estimation in the presence of transient occlusion Michael Zechmair Yannick Morel 29 0 0 27 Jun 2024
Spiking representation learning for associative memories Naresh B. Ravichandran A. Lansner Pawel Herman 29 1 0 05 Jun 2024
Zamba: A Compact 7B SSM Hybrid Model Paolo Glorioso Quentin G. Anthony Yury Tokpanov James Whittington Jonathan Pilault Adam Ibrahim Beren Millidge 25 45 0 26 May 2024
ProcNet: Deep Predictive Coding Model for Robust-to-occlusion Visual Segmentation and Pose Estimation Michael Zechmair Alban Bornet Yannick Morel 6 0 0 27 Oct 2023
Dynamic Early Exiting Predictive Coding Neural Networks Alaa Zniber Ouassim Karrakchou Mounir Ghogho 17 0 0 05 Sep 2023
GPTEval: A Survey on Assessments of ChatGPT and GPT-4 Rui Mao Guanyi Chen Xulang Zhang Frank Guerin Erik Cambria ELM LM&MA 28 100 0 24 Aug 2023
Characterising representation dynamics in recurrent neural networks for object recognition Sushrut Thorat Adrien Doerig Tim C Kietzmann 14 2 0 23 Aug 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? Felix Wichmann Robert Geirhos 25 25 0 26 May 2023
Bio-Inspired, Task-Free Continual Learning through Activity Regularization Francesco Lassig Pau Vilimelis Aceituno M. Sorbaro Benjamin Grewe CLL 25 8 0 08 Dec 2022
The least-control principle for local learning at equilibrium Alexander Meulemans Nicolas Zucchet Seijin Kobayashi J. Oswald João Sacramento 22 19 0 04 Jul 2022
Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition Naresh B. Ravichandran A. Lansner Pawel Herman 19 4 0 30 Jun 2022
Hybrid Predictive Coding: Inferring, Fast and Slow Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley 19 36 0 05 Apr 2022
Recent Advances in Neural Text Generation: A Task-Agnostic Survey Chen Tang Frank Guerin Chenghua Lin AI4CE OOD 28 19 0 06 Mar 2022
Data-driven emergence of convolutional structure in neural networks Alessandro Ingrosso Sebastian Goldt 48 38 0 01 Feb 2022
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition Sofia Broomé Ernest Pokropek Boyu Li Hedvig Kjellström 13 7 0 22 Dec 2021
Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorization Sushrut Thorat G. Aldegheri Tim C Kietzmann 12 11 0 15 Nov 2021
Recurrent Attention Models with Object-centric Capsule Representation for Multi-object Recognition Hossein Adeli Seoyoung Ahn G. Zelinsky OCL 23 3 0 11 Oct 2021
Capturing the objects of vision with neural networks B. Peters N. Kriegeskorte OCL 18 56 0 07 Sep 2021
Layer Folding: Neural Network Depth Reduction using Activation Linearization Amir Ben Dror Niv Zehngut Avraham Raviv E. Artyomov Ran Vitek R. Jevnisek 15 20 0 17 Jun 2021
Projection: A Mechanism for Human-like Reasoning in Artificial Intelligence Frank Guerin 35 4 0 24 Mar 2021
Hybrid Backpropagation Parallel Reservoir Networks Matthew Evanusa Snehesh Shrestha M. Girvan Cornelia Fermuller Yiannis Aloimonos AI4TS 22 0 0 27 Oct 2020
Seeing eye-to-eye? A comparison of object recognition performance in humans and deep convolutional neural networks under image manipulation Leonard E. van Dyck W. Gruber 13 3 0 13 Jul 2020
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency Robert Geirhos Kristof Meding Felix Wichmann 6 116 0 30 Jun 2020
Hierarchically Compositional Tasks and Deep Convolutional Networks Arturo Deza Q. Liao Andrzej Banburski T. Poggio BDL OOD 22 2 0 24 Jun 2020
Learning Physical Graph Representations from Visual Scenes Daniel M. Bear Chaofei Fan Damian Mrowca Yunzhu Li S. Alter ... Jeremy Schwartz Li Fei-Fei Jiajun Wu J. Tenenbaum Daniel L. K. Yamins SSL GNN SSeg AI4CE 37 78 0 22 Jun 2020
Five Points to Check when Comparing Visual Perception in Humans and Machines Christina M. Funke Judy Borowski Karolina Stosio Wieland Brendel Thomas S. A. Wallis Matthias Bethge 14 33 0 20 Apr 2020
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex Q. Liao T. Poggio 206 255 0 13 Apr 2016