[1] Bai Z B, Zhang J J, Gao Y et al. Attention mechanism-based object detection algorithm in aerial images[J]. Laser & Optoelectronics Progress, 60, 1215003(2023).

[2] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C], 580-587(2014).

[3] Ren S Q, He K M, 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, 39, 1137-1149(2017).

[4] He K M, Gkioxari G, Dollár P et al. Mask R-CNN[C], 2980-2988(2017).

[5] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[M]. Computer vision-ECCV 2016, 9905, 21-37(2016).

[6] Redmon J, Divvala S, Girshick R et al. You only look once: unified, real-time object detection[C], 779-788(2016).

[7] 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).

[8] Shan H L, Wang S Y, Tong J Y et al. Multi-scale optical remote sensing image target detection based on enhanced small target features[J]. Acta Optica Sinica, 44, 0628006(2024).

[9] Zhang R Q, Shao Z F, Portnov A et al. Multi-scale dilated convolutional neural network for object detection in UAV images[J]. Geomatics and Information Science of Wuhan University, 45, 895-903(2020).

[10] Zhu X K, Lyu S C, Wang X et al. TPH-YOLOv5: improved YOLOv5 based on transformer prediction head for object detection on drone-captured scenarios[C], 2778-2788(2021).

[11] Akyon F C, Altinuc S O, Temizel A. Slicing aided hyper inference and fine-tuning for small object detection[C], 966-970(2022).

[12] Li W T, Chen Y J, Hu K X et al. Oriented RepPoints for aerial object detection[C], 1819-1828(2022).

[13] Du B W, Huang Y C, Chen J X et al. Adaptive sparse convolutional networks with global context enhancement for faster object detection on drone images[C], 13435-13444(2023).

[14] Vaswani A, Shazeer N, Parmar N et al. Attention is all you need[EB/OL]. https://arxiv.org/abs/1706.03762

[15] Lu Y Q, Chen M H, Qin K B et al. Super-resolution reconstruction of OCT image based on pyramid Long Range Transformer[J]. Chinese Journal of Lasers, 50, 1507107(2023).

[16] Zhou T, Ye X Y, Liu F Z et al. Lightweight directional Transformer for X-ray-aided pneumonia diagnosis[J]. Acta Optica Sinica, 43, 1310001(2023).

[17] Liu Z, Lin Y T, Cao Y et al. Swin transformer: hierarchical vision transformer using shifted windows[C], 9992-10002(2021).

[18] Hou Q B, Zhou D Q, Feng J S. Coordinate attention for efficient mobile network design[C], 13708-13717(2021).

[19] Chen J R, Kao S H, He H et al. Run, don’t walk: chasing higher FLOPS for faster neural networks[C], 12021-12031(2023).

[20] Wang J Q, Chen K, Xu R et al. CARAFE: content-aware ReAssembly of FEatures[C], 3007-3016(2019).

[21] Lu H, Liu W Z, Fu H T et al. FADE: fusing the assets of decoder and encoder for task-agnostic upsampling[M]. Computer vision-ECCV 2022, 13687, 231-247(2022).

[22] Lu H, Liu W Z, Ye Z X et al. SAPA: similarity-aware point affiliation for feature upsampling[EB/OL]. http://arxiv.org/abs/2209.12866v2

[23] Liu W Z, Lu H, Fu H T et al. Learning to upsample by learning to sample[C], 6004-6014(2023).

[24] Fan Q Q, Shi Z F, Kong F N et al. Lightweight feature fusion network for object detection in aerial photography images[J]. Laser & Optoelectronics Progress, 60, 1010027(2023).