Infrared Technology, Volume. 47, Issue 2, 211(2025)
ReNet: Ground Rotating Target Detection Method Based on Anchor-Free Frame
[1] [1] REN S, HE K, Girshick R, et al. Faster r-cnn: Towards real-time object detection with region proposal networks[C]//Advances in Neural Information Processing Systems, 2015: 91-99.
[2] [2] Redmon J, Farhadi A. Yolov3: An incremental improvement[J]. arXiv preprint arXiv: 1804.02767, 2018.
[3] [3] HE K, GKIOXARI G, DOLLR P, et al. Mask r-cnn[C]//Proceedings of the IEEE International Conference on Computer Vision, 2017: 2961-2969.
[4] [4] LIN T Y, Goyal P, Girshick R, et al. Focal loss for dense object detection[C]//Proceedings of the IEEE International Conference on Computer Vision, 2017: 2980-2988.
[8] [8] Law H, DENG J. Cornernet: Detecting objects as paired keypoints[C]//Proceedings of the European Conference on Computer Vision (ECCV), 2018: 734-750.
[9] [9] YU J, JIANG Y, WANGZ, et al. Unitbox: An advanced object detection network[C]//Proceedings of the 24th ACM International Conference on Multimedia, 2016: 516-520.
[10] [10] TIAN Z, SHEN C, CHEN H, et al. Fcos: fully convolutional one-stage object detection[C]//Proceedings of the IEEE international Conference on Computer Vision, 2019: 9627-9636.
[11] [11] YU C, WANG J, PENG C, et al. Bisenet: Bilateral segmentation network for real-time semantic segmentation[C]//Proceedings of the European Conference on Computer Vision (ECCV), 2018: 325-341.
[12] [12] YU C, WANG J, PENG C, et al. Learning a discriminative feature network for semantic segmentation[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018: 1857-1866.
[16] [16] CHEN L C, Papandreou G, Kokkinos I, et al. Deeplab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 40(4): 834-848.
[17] [17] 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..
[19] [19] DONG L, MA D, QIN G, et al. Infrared target detection in backlighting maritime environment based on visual attention model[J]. Infrared Physics & Technology, 2019, 99: 193-200.
[20] [20] SUO J, WANG T, ZHANG X, et al. HIT-UAV: a high-altitude infrared thermal dataset for unmanned aerial vehicle-based object detection[J/OL]. Sci Data 10, 2023, 227: https://doi.org/10.1038/s41597-023-02066-6.
[21] [21] GUO M H, LIU Z N, MU T J, et al. Beyond self-attention: external attention using two linear layers for visual tasks[J]. IEEE Trans. Pattern Anal Mach Intell., 2023, 45(5): 5436-5447.
[22] [22] 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.
Get Citation
Copy Citation Text
XU Yebin, WANG Yunpeng, LIU Shaolong, LIU Li, LI Rui. ReNet: Ground Rotating Target Detection Method Based on Anchor-Free Frame[J]. Infrared Technology, 2025, 47(2): 211