暂无分享,去创建一个
[1] Andrea Palazzi,et al. DR(eye)VE: A Dataset for Attention-Based Tasks with Applications to Autonomous and Assisted Driving , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[2] Ming Liu,et al. A gaze model improves autonomous driving , 2019, ETRA.
[3] Rita Cucchiara,et al. A deep multi-level network for saliency prediction , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[4] Xin Zhang,et al. End to End Learning for Self-Driving Cars , 2016, ArXiv.
[5] Mark R. Wilson,et al. Cheating experience: Guiding novices to adopt the gaze strategies of experts expedites the learning of technical laparoscopic skills. , 2012, Surgery.
[6] Andrea Palazzi,et al. Predicting the Driver's Focus of Attention: The DR(eye)VE Project , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Alexey Dosovitskiy,et al. End-to-End Driving Via Conditional Imitation Learning , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[8] Ming Liu,et al. Gaze Training by Modulated Dropout Improves Imitation Learning , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[9] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Yann LeCun,et al. Off-Road Obstacle Avoidance through End-to-End Learning , 2005, NIPS.
[11] Yusuke Yamani,et al. Following Expert's Eyes: Evaluation of the Effectiveness of a Gaze-Based Training Intervention on Young Drivers' Latent Hazard Anticipation Skills , 2017 .