Infrared Technology, Volume. 46, Issue 12, 1371(2024)
Nighttime Object Detection in Infrared and Visible Images Based on Multi-Attention Mechanism
[1] [1] Hafiz A M, Bhat G M. A survey on instance segmentation: state of the art[J]. International Journal of Multimedia Information Retrieval, 2020, 9(3): 171-189.
[2] [2] ZHANG D, Islam M M, LU G. A review on automatic image annotation techniques[J]. Pattern Recognition, 2012, 45(1): 346-362.
[3] [3] Souza L, Nakamura E F, Pazzi R W. Object tracking for sensor networks: a survey[J]. ACM Computing Surveys (CSUR), 2016, 49(2): 1-31.
[4] [4] YAO H, ZHANG Y, JIAN H, et al. Nighttime pedestrian detection based on fore-background contrast learning[J]. Knowledge-Based Systems, 2023, 275: 110719.
[5] [5] Polukhin A, Gordienko Y, Jervan G, et al. Object detection for rescue operations by high-altitude infrared thermal imaging collected by unmanned aerial vehicles[C]//Iberian Conference on Pattern Recognition and Image Analysis. Cham: Springer Nature Switzerland, 2023: 490-504.
[6] [6] MA J, MA Y, LI C. Infrared and visible image fusion methods and applications: a survey[J]. Information Fusion, 2019, 45: 153-178.
[7] [7] MA J, TANG L, XU M, et al. STDFusionNet: An infrared and visible image fusion network based on salient object detection[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-13.
[8] [8] CHEN J, XU X, ZHANG J, et al. Ship target detection algorithm based on decision-level fusion of visible and SAR images[J]. IEEE Journal on Miniaturization for Air and Space Systems, 2023, 4(3): 242-249.
[9] [9] WANG C Y, Bochkovskiy A, LIAO H Y M. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023: 7464-7475.
[10] [10] WANG C Y, LIAO H Y M. Yolov4: Optimal speed and accuracy of object detection[J]. arXiv preprint arXiv:2004.10934, 2020.
[11] [11] Woo S, Park J, Lee J Y, et al. Cbam: Convolutional lock attention module[C]//Proceedings of the European Conference on Computer Vision (ECCV), 2018: 3-19.
[12] [12] Vaswani A, Shazeer N, Parmar N, et al. Attention is all you need[J]. Advances in Neural Information Processing Systems, 2017, 30: 5998-6008.
[13] [13] MA J, YU W, LIANG P, et al. FusionGAN: a generative adversarial network for infrared and visible image fusion[J]. Information Fusion, 2019, 48: 11-26.
[14] [14] MA J, CHEN C, LI C, et al. Infrared and visible image fusion via gradient transfer and total variation minimization[J]. Information Fusion, 2016, 31: 100-109.
[15] [15] XU H, MA J, JIAGN J, et al. U2Fusion: a unified unsupervised image fusion network[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 44(1): 502-518.
[16] [16] LI H, WU X J. DenseFuse: a fusion approach to infrared and visible images[J]. IEEE Transactions on Image Processing, 2018, 28(5): 2614-2623.
[17] [17] 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, 2016, 39(6): 1137-1149.
[18] [18] LIU W, Anguelov D, Erhan D, et al. Ssd: single shot multibox detector[C]//Computer Vision–ECCV 2016: 14th European Conference, Proceedings, Part I 14. Springer International Publishing, 2016: 21-37.
[19] [19] ZHU X, LYU S, WANG X, et al. TPH-YOLOv5: Improved YOLOv5 based on transformer prediction head for object detection on drone-captured scenarios[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021: 2778-2788.
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LI Ruihong, FU Zhitao, ZHANG Shaochen, ZHANG Jian, WANG Leiguang. Nighttime Object Detection in Infrared and Visible Images Based on Multi-Attention Mechanism[J]. Infrared Technology, 2024, 46(12): 1371
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Received: Jul. 23, 2023
Accepted: Jan. 14, 2025
Published Online: Jan. 14, 2025
The Author Email: Zhitao FU (zhitaofu@126.com)
CSTR:32186.14.