Infrared and Laser Engineering, Volume. 51, Issue 12, 20220253(2022)
Lightweight infrared dim vehicle target detection algorithm based on deep learning
[1] Xudong Li, Mao Ye, Tao Li. A review of object detection research based on convolutional neural network. Computer Application Research, 34, 2881-2887(2017).
[2] Cong Tang, Yongshun Ling, Hua Yang, et al. Visual tracking method for object detection based on deep learning. Infrared and Laser Engineering, 47, 0526001(2018).
[3] A Krizhevsky, I Sutskever, G Hinton. Imagenet classification with deep convolutional neural networks. Advances in Neural Information Processing Systems, 25, 1097-1105(2012).
[4] [4] Szegedy C, Liu W, Jia Y, et al. Going deeper with convolutions[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2015: 19.
[5] [5] Simonyan K, Zisserman A. Very deep convolutional wks f largescale image recognition[EBOL]. (20140904)[20220320]. https:arxiv.gabs1409.1556v4.
[6] [6] He K M, Zhang X Y, Ren S Q, et al. Deep residual learning f image recognition [C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition , 2016: 770778.
[7] Xiaoyan Zhou, Ke Wang, Lingyan Li. A review of target detection algorithms based on deep learning. Electronic Measurement Technology, 40, 89-94(2017).
[8] [8] Girshick R, Donahue J, Darrell T, et al. Rich feature hierarchies f accurate object detection semantic segmentation[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2014: 580587.
[9] [9] Redmon J , Divvala S , Girshick R , et al. You only look once: Unified, RealTimeObject detection[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition 2016: 779788.
[10] H Ren, X G Wang. Review of attention mechanism. Journal of Computer Applications, 41, 1-6(2021).
[11] J Hu, L Shen, S Albanie, et al. Squeeze-and-excitation networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 2011-2023(2020).
[12] [12] Wang Q, Wu B, Zhu P, et al. ECA: Efficient channel attention f deep convolutional neural wks[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2020: 1153111539.
[13] [13] Qin X, Wang Z, Bai Y, et al. FFA: Feature fusion attention wk f single image dehazing[C]Proceedings of the National Conference on Artificial Intelligence in Association f the Advancement of Artificial Intelligence, 2020: 19.
[14] [14] Zhang Y, Tian Y, Kong Y, et al. Residual dense wk f image superresolution[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2018: 24722481.
Get Citation
Copy Citation Text
Renhao Cai, Ning Cheng, Zhiyong Peng, Shize Dong, Jianmin An, Gang Jin. Lightweight infrared dim vehicle target detection algorithm based on deep learning[J]. Infrared and Laser Engineering, 2022, 51(12): 20220253
Category: Image processing
Received: Mar. 20, 2022
Accepted: --
Published Online: Jan. 10, 2023
The Author Email: