[1] Ma L, Gou Y T, Lei T et al. Small object detection based on multi-scale feature fusion using remote sensing images[J]. Opto-Electron Eng, 49, 210363(2022).

[2] Yuan J H, Zhang N F, Ruan J S et al. Detection of prohibited items in X-ray images based on modified YOLOX algorithm[J]. Laser Technol, 47, 547-552(2023).

[3] Ming Q, Miao L J, Zhou Z Q et al. CFC-Net: a critical feature capturing network for arbitrary-oriented object detection in remote-sensing images[J]. IEEE Trans Geosci Remote Sens, 60, 5605814(2022).

[4] Cong R M, Zhang Y M, Fang L Y et al. RRNet: relational reasoning network with parallel multiscale attention for salient object detection in optical remote sensing images[J]. IEEE Trans Geosci Remote Sens, 60, 5613311(2022).

[5] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C], 580-587(2014). https://doi.org/10.1109/CVPR.2014.81

[6] Girshick R. Fast R-CNN[C], 1440-1448(2015). https://doi.org/10.1109/ICCV.2015.169

[7] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Trans Pattern Anal Mach Intell, 39, 1137-1149(2017).

[8] He K M, Gkioxari G, Dollár P et al. Mask R-CNN[C], 2961-2969(2017). https://doi.org/10.1109/ICCV.2017.322

[9] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[C], 21-37(2016). https://doi.org/10.1007/978-3-319-46448-0_2

[10] Zhao L Q, Li S Y. Object detection algorithm based on improved YOLOv3[J]. Electronics, 9, 537(2020).

[11] Gai R L, Chen N, Yuan H. A detection algorithm for cherry fruits based on the improved YOLO-v4 model[J]. Neural Comput Appl, 35, 13895-13906(2023).

[12] 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], 7464-7475(2023). https://doi.org/10.1109/CVPR52729.2023.00721

[13] Salehi A W, Khan S, Gupta G et al. A study of CNN and transfer learning in medical imaging: advantages, challenges, future scope[J]. Sustainability, 15, 5930(2023).

[14] Gao S H, Li Z Y, Han Q et al. RF-Next: efficient receptive field search for convolutional neural networks[J]. IEEE Trans Pattern Anal Mach Intell, 45, 2984-3002(2023).

[15] Gao T, Niu Q Q, Zhang J et al. Global to local: a scale-aware network for remote sensing object detection[J]. IEEE Trans Geosci Remote Sens, 61, 5615614(2023).

[16] Zhang J Q, Lei J, Xie W Y et al. SuperYOLO: super resolution assisted object detection in multimodal remote sensing imagery[J]. IEEE Trans Geosci Remote Sens, 61, 5605415(2023).

[17] Wang L, Liu X B, Ma J T et al. Real-time steel surface defect detection with improved multi-scale YOLO-v5[J]. Processes, 11, 1357(2023).

[18] Quan Y, Zhang D, Zhang L Y et al. Centralized feature pyramid for object detection[J]. IEEE Trans Image Process, 32, 4341-4354(2023).

[19] Xu S B, Zheng S C, Xu W H et al. HCF-Net: hierarchical context fusion network for infrared small object detection[Z](2024). https://arxiv.org/abs/2403.10778

[20] Li Y X, Li X, Dai Y M et al. LSKNet: a foundation lightweight backbone for remote sensing[Z](2024). https://arxiv.org/abs/2403.11735

[21] Li X, Wang W H, Hu X L et al. Selective kernel networks[C], 510-519(2019). https://doi.org/10.1109/CVPR.2019.00060

[22] Liang L M, Zhan T, Lei K et al. Multi-resolution fusion input U-shaped retinal vessel segmentation algorithm[J]. J Electron Inf Technol, 45, 1795-1806(2023).

[23] Chen Y X, Lin M W, He Z et al. Consistency-and dependence-guided knowledge distillation for object detection in remote sensing images[J]. Expert Syst Appl, 229, 120519(2023).

[24] Zhao D W, Shao F M, Liu Q et al. A small object detection method for drone-captured images based on improved YOLOv7[J]. Remote Sens, 16, 1002(2024).

[25] Xia G S, Bai X, Ding J et al. DOTA: a large-scale dataset for object detection in aerial images[C], 3974-3983(2018). https://doi.org/10.1109/CVPR.2018.00418