论文信息 - On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data - 字舞流文

On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data

Jorge García-Gutiérrez | Pedro Lara-Benítez | Manuel Carranza-García | Jesús Torres-Mateo | Jorge García-Gutiérrez | Pedro Lara-Benítez | Manuel Carranza-García | Jesús Torres-Mateo

[1] Ali Farhadi,et al. YOLOv3: An Incremental Improvement , 2018, ArXiv.

[2] Bo Chen,et al. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017, ArXiv.

[3] Zhuowen Tu,et al. Aggregated Residual Transformations for Deep Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[4] Jieping Ye,et al. Object Detection in 20 Years: A Survey , 2019, Proceedings of the IEEE.

[5] Kaiming He,et al. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour , 2017, ArXiv.

[6] Kai Chen,et al. MMDetection: Open MMLab Detection Toolbox and Benchmark , 2019, ArXiv.

[7] Jorge Nocedal,et al. On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima , 2016, ICLR.