[1] [1] Xu He, Dai Manman, Li Peng, et al. A cross domain interconnection method of RFID tags and mobile terminals based on reflected signal characteristics［J］. Journal of Nanjing University of Posts and Telecommunications: Natural Science Edition,2023,43(2):63—75.

[2] [2] Zhou Wanyang, Fu Fang, Wang Lifeng. Real-time detection system of intelligent logistics anti-counterfeiting code based on laser radio frequency technology［J］. Laser Journal,2021,42(5):46—51.

[3] [3] Xi Zhigui, Yang Qihua, Ying Liuwei. Research on image recognition of logistics package based on faster-RCNN［J］. Bulletin of Science and Technology,2021,37(1):56—59.

[4] [4] Babaqi T, Béla Vizvári. The post-disaster transportation of injured people when hospitals have districts［J］. Journal of Humanitarian Logistics and Supply Chain Management,2023,13(1):61—73.

[5] [5] He Yongkang, Song Lianqing, Xie Qingyun, et al. Design and implementation of intelligent sorting system for recyclable materials［J］. Computer Engineering and Design,2022,44(6):1582—1591.

[6] [6] Fang Guodong, Gao Junwei, Zhu Chenxi, et al. Intelligent sorting system for manipulator based on machine vision［J］. Instrument Technique and Sensor,2020,2(12):72—76.

[7] [7] Liang N, Sun S, Zhou L, et al. High-throughput instance segmentation and shape restoration of overlapping vegetable seeds based on sim2real method［J］. Measurement,2023,207:112414—112421.

[8] [8] Zhao Chu, Duan Xianhua, Su Junkai. Research on ceramic tile surface defect detection by improved faster RCNN［J］. Computer Engineering and Applications,2023,59(14):201—208.

[9] [9] Guo Yijing, Huang Siqi, Liu Li, et al. Automatic tableware sorting detection based on YOLO 3［J］. Journal of Xiamen University: Natural Science,2020,59(4):572—577.

[10] [10] Jianlin Wang, Xiaoqi Lü, Ming Zhang, et al. Remote sensing image ship detection based on improved R-FCN［J］. Laser & Optoelectronics Progress,2019,56(16):162803—162810.

[11] [11] Li D, Liu H, Wei T, et al. Robotic grasping method of bolster spring based on image-based visual servoing with YOLOv3 object detection algorithm［J］. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,2022,236(3):1780—1795.

[12] [12] Asif U, Tang J, Harrer S. GraspNet: An efficient convolutional neural network for real-time grasp detection for low-powered devices［C］∥Twenty-Seventh International Joint Conference on Artificial Intelligence IJCAI-18.2018:31—44.

[13] [13] Frédéric.Claux, Baudouin M, Clément. Bogey, et al. Dense, deep learning-based intracranial aneurysm detection on TOF MRI using two-stage regularized U-Net［J］. Journal of Neuroradiology: Journal de Neuroradiologie,2023,50(1):9—15.

[14] [14] Li Qingsong, Zhang Xudong, Zhang Jun, et al. Title：Multilateral adaptive depth image super-resolution reconstruction via RGB-D structure similarity measure［J］. Journal of Image and Graphics,2019,24(7):1160—1175.

[15] [15] Zhou Tao, Dong Yali, Huo Bingqiang, et al. U-Net and its applications in medical image segmentation:a review［J］. Journal of Image and Graphics,2021,26(9):2058—2077.

[16] [16] Wu Y, Jiang J, Huang Z, et al. FPANet: Feature pyramid aggregation network for real-time semantic segmentation［J］. Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies,2022,2(3):52—59.

[17] [17] Jiang D, Li G, Tan C, et al. Semantic segmentation for multiscale target based on object recognition using the improved Faster-RCNN model［J］. Future Generation Computer Systems,2021,123(1):42—49.

[18] [18] A J X C, A T J M, B Y K L, et al. LinkNet: 2D-3D linked multi-modal network for online semantic segmentation of RGB-D videos - ScienceDirect［J］. Computers & Graphics,2021,13(98):37—47.

[19] [19] Wu Z, Yang R, Gao F, et al. Segmentation of abnormal leaves of hydroponic lettuce based on DeepLabV3+ for robotic sorting［J］. Computers and Electronics in Agriculture,2021,190(3):106443—106451.