Citation: | CHEN Gao, WANG Weihua, LIN Dandan. Infrared Vehicle Target Detection Based on Convolutional Neural Network without Pre-training[J]. Infrared Technology , 2021, 43(4): 342-348. |
[1] |
Otsu N. A threshold selection method from gray-level histograms[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1979, 9(1): 62-66. DOI: 10.1109/TSMC.1979.4310076
|
[2] |
Dalal N, Triggs B. Histograms of oriented gradients for human detection[C]//Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005: 886-893.
|
[3] |
Suykens J A K, Vandewalle J. Least squares support vector machine classifiers[J]. Neural Processing Letters, 1999, 9(3): 293-300. DOI: 10.1023/A:1018628609742
|
[4] |
REN S, HE K, Girshick R, et al. Faster r-cnn: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 39(6): 1137-1149 DOI: 10.1109/TPAMI.2016.2577031
|
[5] |
QIN Z, LI Z, ZHANG Z, et al. ThunderNet: Towards real-time generic object detection on mobile devices[C]//Proceedings of the IEEE International Conference on Computer Vision, 2019: 6718-6727.
|
[6] |
Redmon J, Divvala S, Girshick R, et al. You only look once: unified, real-time object detection[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016: 779-788.
|
[7] |
DUAN K, BAI S, XIE L, et al. Centernet: keypoint triplets for object detection[C]//Proceedings of the IEEE International Conference on Computer Vision, 2019: 6569-6578.
|
[8] |
TANG T, ZHOU S, DENG Z, et al. Vehicle detection in aerial images based on region convolutional neural networks and hard negative example mining[J]. Sensors, 2017, 17(2): 336. DOI: 10.3390/s17020336
|
[9] |
DENG J, DONG W, Socher R, et al. Imagenet: a large-scale hierarchical image database[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009: 248-255.
|
[10] |
LIN T Y, Maire M, Belongie S, et al. Microsoft coco: common objects in context[C]//Proceedings of the European Conference on Computer Vision, 2014: 740-755.
|
[11] |
Redmon J, Farhadi A. YOLOv3: An incremental improvement[DB/OL]. https://arxiv.org/abs/1804.02767.2020-0703.
|
[12] |
HU J, SHEN L, SUN G. Squeeze-and-excitation networks[C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018: 7132-7141.
|
[13] |
Woo S, Park J, Lee J Y, et al. Cbam: convolutional block attention module[C]//Proceedings of the European Conference on Computer Vision (ECCV), Munich, Germany: Springer, 2018: 3-19.
|
[14] |
HE K, ZHANG X, REN S, et al. Deep residual learning for image recognition[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016: 770-778.
|
[15] |
Krishna K, Murty M N. Genetic K-means algorithm[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1999, 29(3): 433-439. DOI: 10.1109/3477.764879
|
[1] | LIU Xiaopeng, ZHANG Tao. Global-Local Attention-Guided Reconstruction Network for Infrared Image[J]. Infrared Technology , 2024, 46(7): 791-801. |
[2] | LI Li, YI Shi, LIU Xi, CHENG Xinghao, WANG Cheng. Infrared Image Deblurring Based on Dense Residual Generation Adversarial Network[J]. Infrared Technology , 2024, 46(6): 663-671. |
[3] | CHEN Xin. Infrared and Visible Image Fusion Using Double Attention Generative Adversarial Networks[J]. Infrared Technology , 2023, 45(6): 639-648. |
[4] | WU Yuanyuan, WANG Zhishe, WANG Junyao, SHAO Wenyu, CHEN Yanlin. Infrared and Visible Image Fusion Using Attention- Based Generative Adversarial Networks[J]. Infrared Technology , 2022, 44(2): 170-178. |
[5] | HUANG Mengtao, GAO Na, LIU Bao. Image Deblurring Method Based on a Dual-Discriminator Weighted Generative Adversarial Network[J]. Infrared Technology , 2022, 44(1): 41-46. |
[6] | SONG Jingjing, LI Zhonghui, ZHANG Xin, TIAN He, ZHENG Anqi, ZANG Zesheng, ZHANG Quancong. Research on Normalized Histogram Characterization of Infrared Thermal Image of Rock Sample Damage[J]. Infrared Technology , 2021, 43(8): 777-783. |
[7] | LUO Di, WANG Congqing, ZHOU Yongjun. A Visible and Infrared Image Fusion Method based on Generative Adversarial Networks and Attention Mechanism[J]. Infrared Technology , 2021, 43(6): 566-574. |
[8] | XU Hangwei, ZHAO Zhuang, YUE Jiang, BAI Lianfa. Real-time Unsupervised Classification Method of Hyperspectral Images Based on the Normalized Spectral Vector[J]. Infrared Technology , 2018, 40(4): 362-368. |
[9] | GUO Jingbin, FENG Huajie, WANG Long, PENG Qinjian, LI Xingfei. Design of Focusing Window Based on Energy Function of Gradient[J]. Infrared Technology , 2016, 38(3): 197-202. |
[10] | LIU Gang, HAN Jian-dong. A New 2*Image Interpolation Based on Gradient[J]. Infrared Technology , 2006, 28(6): 324-326. DOI: 10.3969/j.issn.1001-8891.2006.06.004 |