Object detection through search with a foveated visual system, PLoS Computational Biology, vol.13, p.1005743, 2017. ,
The main sequence, a tool for studying human eye movements, Mathematical Biosciences, vol.24, pp.191-204, 1975. ,
Saliency, attention, and visual search: An information theoretic approach, Journal of Vision, vol.9, issue.3, 2009. ,
Infomax control of eye movements, IEEE Transactions on Autonomous Mental Development, vol.2, pp.91-107, 2010. ,
The representation of the visual field in parvicellular and magnocellular layers of the lateral geniculate nucleus in the macaque monkey, Journal of Comparative Neurology, vol.226, pp.544-564, 1984. ,
Active fovea-based vision through computationally-effective model-based prediction, Frontiers in Neurorobotics, vol.12, p.76, 2018. ,
Learning where to attend with deep architectures for image tracking, Neural Computation, vol.24, pp.2151-2184, 2012. ,
Computer vision algorithms and hardware implementations: A survey, Integration, vol.69, pp.309-320, 2019. ,
Self-invertible 2D log-Gabor wavelets, International Journal of Computer Vision, vol.75, pp.231-246, 2007. ,
Perceptions as hypotheses: Saccades as experiments, Frontiers in Psychology, vol.3, 2012. ,
Look closer to see better: Recurrent attention convolutional neural network for fine-grained image recognition, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.4438-4446, 2017. ,
Delving deep into rectifiers: Surpassing humanlevel performance on ImageNet classification, p.4208, 2015. ,
Bayesian surprise attracts human attention, Vision Research, vol.49, pp.1295-1306, 2009. ,
Computational modelling of visual attention, Nature Reviews Neuroscience, vol.2, pp.194-203, 2001. ,
Actor-critic models of the basal ganglia: New anatomical and computational perspectives, Neural Networks, vol.15, pp.535-547, 2002. ,
DeepFovea: Neural reconstruction for foveated rendering and video compression using learned statistics of natural videos, ACM Transactions on Graphics, pp.730-742, 2019. ,
, Adam: A method for stochastic optimization. arXiv, 2014.
Ultra-rapid object detection with saccadic eye movements: Visual processing speed revisited, Vision Research, vol.46, pp.1762-1776, 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-00111074
Implementation of a foveated image coding system for image bandwidth reduction, Human Vision and Electronic Imaging, vol.2657, pp.350-360, 1996. ,
Understanding low-and high-level contributions to fixation prediction, Proceedings of the IEEE International Conference on Computer Vision, pp.4789-4798, 2017. ,
Gradient-based learning applied to document recognition, Proceedings of the IEEE, vol.86, pp.2278-2324, 1998. ,
Zapping 500 faces in less than 100 seconds: Evidence for extremely fast and sustained continuous visual search, Scientific Reports, vol.8, pp.1-12, 2018. ,
Human visual exploration reduces uncertainty about the sensed world, PLoS One, vol.13, p.190429, 2018. ,
Object vision and spatial vision: Two cortical pathways, Trends in Neurosciences, vol.6, pp.414-417, 1983. ,
Recurrent models of visual attention, 2014. ,
, Advances in neural information processing systems, pp.2204-2212
Optimal eye movement strategies in visual search, Nature, vol.434, pp.387-391, 2005. ,
PyTorch: An imperative style, high-performance deep learning library, 2019. ,
, Advances in neural information processing systems, vol.32, pp.8024-8035
Active inference, eye movements and oculomotor delays, Biological Cybernetics, vol.108, pp.777-801, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01382350
You only look once: Unified, real-time object detection, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.779-788, 2016. ,
Faster R-CNN: Towards real-time object detection with region proposal networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.39, pp.1137-1149, 2017. ,
Natural image and receptive field statistics predict saccade sizes, Nature Neuroscience, vol.21, p.1591, 2018. ,
, MobileNetV2: Inverted residuals and linear bottlenecks, p.241, 2018.
Motion clouds: Model-based stimulus synthesis of natural-like random textures for the study of motion perception, Journal of Neurophysiology, vol.107, pp.3217-3226, 2012. ,
, Very deep convolutional networks for large-scale image recognition. arXiv, 2014.
Sensory and motor maps in the mammalian superior colliculus, Trends in Neurosciences, vol.10, pp.312-317, 1987. ,
Peripheral vision and pattern recognition: A review, Journal of Vision, vol.11, p.13, 2011. ,
Pyramid methods in gpu-based image processing, Proceedings vision, modeling, and visualization, pp.169-176, 2006. ,
, Reinforcement learning: An introduction, vol.1, 1998.
Going deeper with convolutions, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.1-9, 2015. ,
Silencing the critics: Understanding the effects of cocaine sensitization on dorsolateral and ventral striatum in the context of an actor/critic model, Frontiers in Neuroscience, vol.2, p.14, 2008. ,
A review of log-polar imaging for visual perception in robotics, Robotics and Autonomous Systems, vol.58, pp.378-398, 2010. ,
A featureintegration theory of attention, Cognitive Psychology, vol.12, pp.97-136, 1980. ,
When does repeated search in scenes involve memory? Looking at versus looking for objects in scenes, Journal of Experimental Psychology: Human Perception and Performance, vol.38, pp.23-41, 2012. ,
SUN: A Bayesian framework for saliency using natural statistics, Journal of Vision, vol.8, issue.7, p.32, 2008. ,