[1] Barro-Torres S, Fernández-Caramés T M, JPérez-Iglesiaset al H. Real-time personal protective equipment monitoring system[J]. Computer Communications, 36, 42-50(2012).
[2] Ma W B, Guan Z, Wang Xet al. YOLO-FL: a target detection algorithm for reflective clothing wearing inspection[J]. Displays, 80, 102561(2023).
[3] Wu Q E, Wan G L, Zhou L Tet al. Construction of the lightweight YOLOv3 helmet detection network model[J]. Computer Simulation, 40, 293-299(2023).
[4] Xie G B, Xie J H, Lin Z Yet al. Detection algorithm for reflective clothing and safety helmets based on CT-YOLOX[J]. Foreign Electronic Measurement Technology, 42, 51-58(2023).
[5] Feng C J, Zhong Y J, Gao Y et al. TOOD: task-aligned one-stage object detection[C], 3490-3499(2021).
[6] Tian Z, Shen C H, Chen H et al. FCOS: fully convolutional one-stage object detection[C], 9626-9635(2019).
[7] Zhu X Z, Hu H, Lin S et al. Deformable ConvNets V2: more deformable, better results[C], 9300-9308(2019).
[8] Cai Y M, Yang W. LKA_Unet: applying spatial attention mechanism based on large convolutional kernel to Unet[J]. Computer Era, 81-84(2023).
[9] Ma X, Dai X Y, Bai Yet al. Rewrite the stars[EB/OL]. https:?∥arxiv.?org/abs 2403.19967
[10] Hou Q B, Zhou D Q, Feng J S. Coordinate attention for efficient mobile network design[C], 13708-13717(2021).
[11] Xu W, Wan Y. ELA: efficient local attention for deep convolutional neural networks[EB/OL]. https:∥arxiv.org/abs/2403.01123v1
[12] Ouyang D L, He S, Zhang G Z et al. Efficient multi-scale attention module with cross-spatial learning[C](2023).
[13] Wang S Z, Guan X, Li Q. Hyperspectral image superresolution network of local-global attention feature reuse[J]. Acta Optica Sinica, 43, 2115001(2023).
[14] Li Y X, Hou Q B, Zheng Z Het al. Large selective kernel network for remote sensing object detection[C], 16748-16759(2023).
[15] Jing F K, Ren H G, Li S. Small-target traffic sign detection based on multiscale feature fusion[J]. Laser & Optoelectronics Progress, 61, 1237002(2024).
[16] Dai S, Sun X M, Zhang J Met al. Multiscale convolutional neural network-based lithology classification method for multisource data fusion[J]. Laser & Optoelectronics Progress, 61, 1437005(2024).
[17] Lee J, Park S, Mo Set al. Layer-adaptive sparsity for the magnitude-based pruning[EB/OL]. https:∥arxiv.org/abs/2010.07611v2
[18] Woo S, Park J, Lee J Yet al. CBAM: convolutional block attention module[M]. Computer vision-ECCV 2018, 11211, 3-19(2018).
[19] Zhao Y, Lv W Y, Xu S Let al. Detrs beat yolo on real-time object detection[EB/OL]. https:∥arxiv.org/abs/2304.08069
[20] Yu G H, Chang Q Y, YLüet al W. PP-PicoDet: a better real-time object detector on mobile devices[EB/OL]. https:?∥arxiv.org/abs/2111.00902v1