Laser & Infrared, Volume. 55, Issue 4, 623(2025)
Multispectral infrared ship detection algorithm based on YOLOv8-n
[2] [2] Zhang L, Liu Z, Zhang S, et al. Cross-modality interactive attention network for multispectral pedestrian detection[J]. Information Fusion, 2019, 50: 20-29.
[3] [3] Zhang H, Fromont E, Lefvre S, et al. Guided attentive feature fusion for multispectral pedestrian detection[C]//Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2021: 72-80.
[4] [4] Qingyun F, Dapeng H, Zhaokui W. Cross-modality fusion transformer for multispectral object detection[DB/OL]. (2021-10-30). http://arxiv.org/abs/2111.00278.
[5] [5] A Dundar, J Jin, B Martini, et al. Embedded streaming deep neural networks accelerator with applications[J]. Neural Netw. & Learning Syst, 2017, 28(7): 1572-1583.
[6] [6] REN S Q, HE K M, 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, 2017, 39(6): 1137-1149.
[7] [7] LIU W, Anguelov D, Erhan D, et al. SSD: single shot multibox detector[C]//European Conference on Computer Vision, Springer International Publishing, 2016: 21-37.
[8] [8] Redmon J, Divvala S, Girshick R, er 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.
[9] [9] Redmon J, Farhadi A. YOLO9000: better, faster, stronger[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017: 6517-6525.
[10] [10] Ge, Zheng, Songtao Liu, Feng Wang, et al. YOLOX: exceeding YOLO series in 2021[J]. arxiv preprint arxiv: 2107.08430, 2021.
[11] [11] Wang Chien-Yao, Alexey Bochkovskiy, Hong-Yuan Mark Liao. YOLOv7: trainable bag-of-freebies sets new state-of-the-art for real-time object detectors[C]//2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022: 7464-7475.
[12] [12] Reis D, Kupec J, Hong J, et al. Real-time flying object detection with YOLOv8[J]. arxiv preprint arxiv: 2305.09972, 2023.
[15] [15] Bao C, Cao J, Hao Q, et al. Dual-YOLO architecture from infrared and visible images for object detection[J]. Sensors, 2023, 23(6): 2934.
[18] [18] Yi, Q, Dai, G, Shi, M, et al. ELANet: effective lightweight attention-guided network for real-time semantic segmentation[J]. Neural Process Lett 2023, 55: 6425-6442.
[19] [19] Vaswani A, Shazeer N, Parmar N, et al. Attention is all you need[C]//Advances in Neural Information Processing Systems, 2017, 30.
[20] [20] Sun Y, Xue B, Zhang M, et al. Completely automated CNN architecture design based on blocks[J]. IEEE Transactions on Neural Networks and Iearning Systems, 2019, 31(4): 1242-1254.
[21] [21] Woo S, Park J, Lee J Y, et al. Cbam: Convolutional block attention module[C]//Proceedings of the European Conference on Computer Vision (ECCV). 2018: 3-19.
[22] [22] Yang Z, Wang X, Li J. EIoU: an improved vehicle detection algorithm based on vehiclenet neural network[J]. Journal of Physics: Conference Series, 2021, 1924(1): 012001.
Get Citation
Copy Citation Text
ZHAO Jia-le, LOU Shu-li, LIN Chao. Multispectral infrared ship detection algorithm based on YOLOv8-n[J]. Laser & Infrared, 2025, 55(4): 623
Category:
Received: Jun. 27, 2024
Accepted: May. 29, 2025
Published Online: May. 29, 2025
The Author Email: LOU Shu-li (shulilou@sina.com)