Inspired by human vision, we propose a new periphery-fovea multi-resolution driving model that predicts vehicle speed from dash camera videos.
Reading the bibliography…
Tracking multiple targets with multifocal attention
Patrick Cavanagh and George A Alvarez · 2005
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Xavier Glorot and Yoshua Bengio · 2010
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Diederik P Kingma and Jimmy Ba · 2014
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Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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Show, attend and tell: Neural image caption generation with visual attention
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Draw: A recurrent neural network for image generation
Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, and Daan Wierstra · 2015
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End to end learning for self-driving cars
Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence D Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, et al · 2016
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Dr (eye) ve: a dataset for attention-based tasks with applications to autonomous and assisted driving
Stefano Alletto, Andrea Palazzi, Francesco Solera, Simone Calderara, and Rita Cucchiara · 2016
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Visual7w: Grounded question answering in images
Yuke Zhu, Oliver Groth, Michael Bernstein, and Li Fei-Fei · 2016
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Interpretable learning for self-driving cars by visualizing causal attention
Jinkyu Kim and John Canny · 2017
Cited alongside, same era.
End-to-end learning of driving models from large-scale video datasets
Huazhe Xu, Yang Gao, Fisher Yu, and Trevor Darrell · 2017
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Learning where to attend like a human driver
Andrea Palazzi, Francesco Solera, Simone Calderara, Stefano Alletto, and Rita Cucchiara · 2017
Cited alongside, same era.
Human attention in visual question answering: Do humans and deep networks look at the same regions?
Abhishek Das, Harsh Agrawal, Larry Zitnick, Devi Parikh, and Dhruv Batra · 2017
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Tensorflow: A system for large-scale machine learning
Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Later among the works it cites.
Textual explanations for self-driving vehicles
Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John Canny, and Zeynep Akata · 2018
Later among the works it cites.
Predicting driver attention in critical situations
Ye Xia, Danqing Zhang, Jinkyu Kim, Ken Nakayama, Karl Zipser, and David Whitney · 2018
Later among the works it cites.
Predicting the driver’s focus of attention: the dr (eye) ve project
Andrea Palazzi, Davide Abati, Simone Calderara, Francesco Solera, and Rita Cucchiara · 2018
Later among the works it cites.
End-to-end learning of driving models with surround-view cameras and route planners
Simon Hecker, Dengxin Dai, and Luc Van Gool · 2018
Later among the works it cites.
Agil: Learning attention from human for visuomotor tasks
Ruohan Zhang, Zhuode Liu, Luxin Zhang, Jake A Whritner, Karl S Muller, Mary M Hayhoe, and Dana H Ballard · 2018
Later among the works it cites.
Deep object centric policies for autonomous driving
Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, and Trevor Darrell · 2019
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