• Acta Photonica Sinica
  • Vol. 53, Issue 4, 0415002 (2024)
Dan ZHONG1,*, Tiehu LI2, and Cheng LI3
Author Affiliations
  • 1School of Automation, Northwestern Polytechnical University, Xi'an 710129, China
  • 2School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China
  • 3Xi'an Institute of Optics and Precision Machinery, Chinese Academy of Sciences, Xi'an 710119, China
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    DOI: 10.3788/gzxb20245304.0415002 Cite this Article
    Dan ZHONG, Tiehu LI, Cheng LI. Enhancing Aircraft Object Detection in Complex Airport Scenes Using Deep Transfer Learning[J]. Acta Photonica Sinica, 2024, 53(4): 0415002 Copy Citation Text show less
    References

    [1] J TANG, G LIU, Q PAN. Review on artificial intelligence techniques for improving representative air traffic management capability. Journal of Systems Engineering and Electronics, 33, 1123-1134(2022).

    [2] G LIU, C WANG. A novel multi-scale feature fusion method for region proposal network in fast object detection. International Journal of Data Warehousing and Mining, 16, 132-145(2020).

    [3] R GIRSHICK, J DONAHUE, T DARRELL et al. Rich feature hierarchies for accurate object detection and semantic segmentation, 580-587(2014).

    [4] Q WU, D FENG, C CAO et al. Improved mask R-CNN for aircraft detection in remote sensing images. Sensors, 21, 2618-2631(2021).

    [5] M GANESHKUMAR, V RAVI, V SOWMYA et al. Two-stage deep learning model for automate detection and classification of lung diseases. Soft Computing, 27, 15563-15579(2023).

    [6] W LIU, D ANGUELOV, D ERHAN et al. SSD: Single shot multibox detector, 21-37(2016).

    [7] C Y FU, W LIU, A RANGA et al. DSSD: Deconvolutional single shot detector(2017).

    [8] T Y LIN, P GOYAL, R GIRSHICK et al. Focal loss for dense object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence Venice, 42, 318-327(2020).

    [9] J REDMON, S DIVVALA, R GIRSHICK et al. You only look once: Unified, real-time object detection(2016).

    [10] J REDMON, A FARHADI. Yolov3: An incremental improvement(2018).

    [11] A BOCHKOVSITY, C Y WANG, H Y M LIAN. Yolov4: Optimal speed and accuracy of object detection(2020).

    [12] S LUO, J YU, Y XI et al. Aircraft target detection in remote sensing images based on improved YOLOv5. IEEE Access, 10, 5184-5192(2022).

    [13] Z LIU, Y GAO, Q DU et al. YOLO-extract: Improved YOLOv5 for aircraft object detection in remote sensing images. IEEE Access, 11, 1742-1751(2023).

    [14] Y QIAN, X PU, H JIA et al. ARNet: prior knowledge reasoning network for aircraft detection in remote sensing images. IEEE Transactions on Geoscience and Remote Sensing(2024).

    [15] Ming ZHAO, Haoran ZHANG. An infrared object detection method based on cross-domain fusion network. Acta Photonica Sinica, 50, 1110001(2021).

    [16] Hongjian FU, Hongyang BAI, Hongwei GUO et al. Object detection method of optical remote sensing image with multi-attention mechanism. Acta Photonica Sinica, 51, 1210003(2022).

    [17] T S PAN, H C HUANG, J C LEE et al. Multi-scale ResNet for real-time underwater object detection. Signal, Image and Video Processing, 15, 941-949(2021).

    [18] J YANG, Y ZHU, B JIANG et al. Aircraft detection in remote sensing images based on a deep residual network and super-vector coding. Remote Sensing Letters, 9, 228-236(2018).

    [19] K HE, X ZHANG, S REN et al. Deep residual learning for image recognition(2016).

    [20] T Y LIN, P DOLLAR, R GIRSHICK et al. Feature pyramid networks for object detection, 1063-6919(2017).

    [21] F ZHUANG, Z QI, K DUAN et al. A comprehensive survey on transfer learning. Proceedings of the IEEE, 109, 43-76(2020).

    [22] Y SHI, L LI, L YANG et al. Center-based transfer feature learning with classifier adaptation for surface defect recognition. Mechanical Systems and Signal Processing, 188, 110001-110021(2023).

    [23] K W CHURCH, Z CHEN, Y MA. Emerging trends: a gentle introduction to fine-tuning. Natural Language Engineering, 27, 763-778(2021).

    [24] Z GE, S LIU, F WANG et al. Yolox: Exceeding yolo series in 2021(2021).

    [25] Z ZHANG, M SABUNCU. Generalized cross entropy loss for training deep neural networks with noisy labels(2018).

    [26] H REZATOFIGHI, N TSOI, J GWAK et al. Generalized intersection over union: A metric and a loss for bounding box regression(2019).

    Dan ZHONG, Tiehu LI, Cheng LI. Enhancing Aircraft Object Detection in Complex Airport Scenes Using Deep Transfer Learning[J]. Acta Photonica Sinica, 2024, 53(4): 0415002
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