[1] X Chen, D L Peng, Y Gu. Real-time object detection for UAV images based on improved YOLOv5s. Opto-Electron Eng, 49, 210372(2022).
[2] X R Xiong, M T He, T Y Li et al. Adaptive feature fusion and improved attention mechanism-based small object detection for UAV target tracking. IEEE Internet Things J, 11, 21239-21249(2024).
[3] L Ma, Y T Guo, T Lei et al. Small object detection based on multi-scale feature fusion using remote sensing images. Opto-Electron Eng, 49, 210363(2022).
[5] S Q Ren, K M He, R Girshick et al. Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans Pattern Anal Mach Intell, 39, 1137-1149(2017).
[12] Z Zhang, H H Yi, J Zheng. Focusing on small objects detector in aerial images. Acta Electron Sin, 51, 944-955(2023).
[13] S C Li, X D Yang, X X Lin et al. Real-time vehicle detection from UAV aerial images based on improved YOLOv5. Sensors, 23, 5634(2023).
[14] K Li, Y N Wang, Z M Hu. Improved YOLOv7 for small object detection algorithm based on attention and dynamic convolution. Appl Sci, 13, 9316(2023).
[15] G Wang, Y F Chen, P An et al. UAV-YOLOv8: a small-object-detection model based on improved YOLOv8 for UAV aerial photography scenarios. Sensors, 23, 7190(2023).
[16] M L Zhu, E Kong. Multi-scale fusion uncrewed aerial vehicle detection based on RT-DETR. Electronics, 13, 1489(2024).
[17] Y F Shao, Z X Yang, Z H Li et al. Aero-YOLO: an efficient vehicle and pedestrian detection algorithm based on unmanned aerial imagery. Electronics, 13, 1190(2024).
[18] W Zhan, C F Sun, M C Wang et al. An improved Yolov5 real-time detection method for small objects captured by UAV. Soft Comput, 26, 361-373(2022).
[19] P L Chen, J T Wang, Z W Zhang et al. Small object detection in aerial images based on feature aggregation and multiple cooperative features interaction. J Electron Meas Instrum, 37, 183-192(2023).
[20] J C Sui, D K Chen, X Zheng et al. A new algorithm for small target detection from the perspective of unmanned aerial vehicles. IEEE Access, 12, 29690-29697(2024).
[22] X B Zhao, K Q Liu, K Gao et al. Hyperspectral time-series target detection based on spectral perception and spatial-temporal tensor decomposition. IEEE Trans Geosci Remote Sens, 61, 5520812(2023).
[23] Y X Wu, K M He. Group normalization, 3-19(2018). https://doi.org/10.1007/978-3-030-01261-8_1
[24] X Y Yin, J A N Goudriaan, E A Lantinga et al. A flexible sigmoid function of determinate growth. Ann Bot, 91, 361-371(2003).
[25] M Tanaka. Weighted sigmoid gate unit for an activation function of deep neural network. Pattern Recognit Lett, 135, 354-359(2020).
[29] M Lin, Q Chen, S C Yan. Network in network(2013).
[30] S Yan, H D Shao, J Wang et al. LiConvFormer: a lightweight fault diagnosis framework using separable multiscale convolution and broadcast self-attention. Expert Syst Appl, 237, 121338(2024).
[31] A Vaswani, N Shazeer, N Parmar et al. Attention is all you need, 6000-6010(2017).
[32] A Dosovitskiy, L Beyer, A Kolesnikov et al. An image is worth 16x16 words: transformers for image recognition at scale(2021).
[38] Y Y Wang, C Wang, H Zhang et al. Automatic ship detection based on RetinaNet using multi-resolution Gaofen-3 imagery. Remote Sens, 11, 531(2019).
[41] X Z Zhu, W J Su, L W Lu et al. Deformable DETR: deformable transformers for end-to-end object detection(2021).
[43] S X Li, C Liu, K W Tang et al. Improved YOLOv5s algorithm for small target detection in UAV aerial photography. IEEE Access, 12, 9784-9791(2024).