[1] [1] WU S,ZHANG S,JING X.An industrial meter detection method based on lightweight YOLOX-Calite[J].IEEE Access,2023,11:3573-3583.

[2] [2] LIN Y,ZHONG Q H,SUN H L.A pointer type instrument intelligent reading system design based on convolutional neural networks[J].Frontiers of Physics,2020,8:618917.

[3] [3] ZHOU D K,YANG Y,ZHU J,et al.Intelligent reading recognition method of a pointer meter based on deep learning in a real environment[J].Measurement Science and Technology,2022,33:055021.

[4] [4] YANG Z S,XU Z,WANG Y H,et al.Bidirection-fusion-YOLOv3:an improved method for insulator defect detection using uav image[J].IEEE Transactions on Instrumentation and Measurement.2022,71:1-8.

[5] [5] FAN Z Z,XI C,SHI L R,et al.Real time power equipment meter recognition based on deep learning[J].IEEE Transactions on Instrumentation and Measurement.2022,71:1-15.

[6] [6] HOWELLS B,CHARLES J,CIPOLLA R.Real-time analogue gauge transcription on mobile phone［C］//IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops,June 16-20,2021,Nashville,USA.Piscataway,NJ:IEEE,2021:2369-2377.

[7] [7] ZHANG X W,HE S L.Application research of pointer instrument panel extraction algorithm based on deep learning［C］//International Conference on Intelligent Computing and Signal Processing,April 21-23,2023,Xi'an,China.Piscataway,NJ:IEEE,2023:1247-1250.

[8] [8] LIU F,PAN L,LIU K L,et al.A multitask cascading convolutional neural network for high-accuracy pointer meter automatic recognition in outdoor environments[J].Measurement Science and Technology,2023,34:055011.

[9] [9] FARAHANI A,VOGHOEI S,RASHEED K,et al.A brief review of domain adaptation［C］//Advances in Data Science and Information Engineering:Proceedings from ICDATA 2020 and IKE 2020,July 27-30,2020,Las Vegas,NV,USA.Berlin:Springer,2021:877-894.

[11] [11] JIANG P,ERGU D,LIU F,et al.A review of YOLO algorithm developments[J].Procedia Computer Science,2022,199:1066-1073.

[12] [12] BAO H,DONG L,PIAO S,et al.BEiT:BERT pre-training of image transformers［C］//International Conference on Learning Representations,April 25-29,2022,Virtual.OpenReview.net,https://openreview.net/forum?id=p-BhZSz59o4.

[13] [13] WEI C,FAN H,XIE S,et al.Masked feature prediction for self-supervised visual pre-training［C］//IEEE/CVF Conference on Computer Vision and Pattern Recognition,June 18-24,2022,New Orleans,LA,USA.Piscataway,NJ:IEEE,2022:14668-14678.

[15] [15] CHEN Y,LI W,SAKARIDIS C,et al.Domain adaptive faster R-CNN for object detection in the wild［C］//IEEE Conference on Computer Vision and Pattern Recognition,June 18-22,2018,Salt Lake City,USA.Piscataway,NJ:IEEE,2018:3339-3348.

[16] [16] SAITO K,USHIKU Y,HARADA T,et al.Strong-weak distribution alignment for adaptive object detection［C］//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,June 16-20,2019,Long Beach,USA.Piscataway,NJ:IEEE,2019:6956-6965.