[1] Pei Z, Zhang Y N, Yang T et al. A novel multi-object detection method in complex scene using synthetic aperture imaging[J]. Pattern Recognition, 45, 1637-1658(2012).

[2] Ruan J G, Cui H H, Huang Y H et al. A review of occluded objects detection in real complex scenarios for autonomous driving[J]. Green Energy and Intelligent Transportation, 2, 100092(2023).

[3] Yurtsever E, Lambert J, Carballo A et al. A survey of autonomous driving: common practices and emerging technologies[J]. IEEE Access, 8, 58443-58469(2020).

[4] Woo S, Park J, Lee J Y et al. CBAM: convolutional block attention module[M]. Computer vision-ECCV 2018, 11211, 3-19(2018).

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

[6] Zhang S S, Chen D, Yang J et al. Guided attention in CNNs for occluded pedestrian detection and re-identification[J]. International Journal of Computer Vision, 129, 1875-1892(2021).

[7] Zhang S S, Yang J, Schiele B. Occluded pedestrian detection through guided attention in CNNs[C], 6995-7003(2018).

[8] Zhao Y M, Wang J C, Ren H E et al. A small object detection algorithm integrated with ReFPN and compound attention mechanism[J]. Journal of Harbin University of Science and Technology, 27, 85-91(2022).

[9] Feng Z Q, Xie Z J, Bao Z W et al. Real-time dense small object detection algorithm for UAV based on improved YOLOv5[J]. Acta Aeronautica et Astronautica Sinica, 44, 327106(2023).

[10] Han K, Wang Y H, Chen H T et al. A survey on vision transformer[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, 87-110(2023).

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

[12] Niu Z Y, Zhong G Q, Yu H. A review on the attention mechanism of deep learning[J]. Neurocomputing, 452, 48-62(2021).

[13] Guo M H, Xu T X, Liu J J et al. Attention mechanisms in computer vision: a survey[J]. Computational Visual Media, 8, 331-368(2022).

[14] Posner M I, Boies S J. Components of attention[J]. Psychological Review, 78, 391-408(1971).

[15] Hu J, Shen L, Albanie S et al. Squeeze-and-excitation networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 2011-2023(2020).

[16] Wang Q L, Wu B G, Zhu P F et al. ECA-net: efficient channel attention for deep convolutional neural networks[C], 11531-11539(2020).

[17] Hu H N, Huang L Y, Yang H G et al. Improved YOLOv8n lightweight honeycomb ceramic defect-detection algorithm[J]. Laser & Optoelectronics Progress, 61, 2212006(2024).

[18] Jaderberg M, Simonyan K, Zisserman A. Spatial transformer networks[EB/OL]. https://arxiv.org/abs/1506.02025

[19] Wang X L, Girshick R, Gupta A et al. Non-local neural networks[C], 7794-7803(2018).

[20] Wan D H, Lu R S, Shen S Y et al. Mixed local channel attention for object detection[J]. Engineering Applications of Artificial Intelligence, 123, 106442(2023).

[21] Zheng Z H, Wang P, Liu W et al. Distance-IoU loss: faster and better learning for bounding box regression[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 34, 12993-13000(2020).

[22] Li X, Wang W H, Wu L J et al. Generalized focal loss: learning qualified and distributed bounding boxes for dense object detection[EB/OL]. https://arxiv.org/abs/2006.04388

[23] Zhu C C, He Y H, Savvides M. Feature selective anchor-free module for single-shot object detection[C], 840-849(2019).

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

[25] Lin H Z, Cheng X, Wu X Y et al. Cat: cross attention in vision Transformer[C](2022).

[26] Veličković P, Cucurull G, Casanova A et al. Graph attention networks[J]. arXiv preprint(2017).

[27] Xie G B, Liang L H, Lin Z Y et al. Lightweight underwater target detection algorithm based on improved YOLOv8n[J]. Laser & Optoelectronics Progress, 61, 2437006(2024).

[28] Yang M Q, Zuo X Q, Dong Y. Ship target detection method in SAR images based on improved YOLOv8s[J]. Laser & Optoelectronics Progress, 61, 2228001(2024).

[29] 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).

[30] Tao Y, Zhong B Q, Zhao W B et al. Underwater object detection algorithm integrating explicit visual center and attention mechanism[J]. Laser & Optoelectronics Progress, 61, 1237009(2024).

[31] Chattopadhay A, Sarkar A, Howlader P et al. Grad-CAM: generalized gradient-based visual explanations for deep convolutional networks[C], 839-847(2018).