Data-Efficient Matching for Object Detection with Transformer in Pin Defect Detection

Author:

Li Ying,Rao Zhuyi

Publisher

Springer Nature Singapore

Reference13 articles.

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2. Zhou, Y., Yang, M., et al.: Simulation analysis of fault recording distortion caused by the fault of 500 kV CVT. Power Capacit. React. Power Compens. 41(2), 64–69 (2020). (in Chinese)

3. Fortes, M.Z., et al.: Fault diagnosis in transmission lines: trends and main research areas. IEEE Lat. Am. Trans. 13(10), 3324–3332 (2015)

4. Carion, N., Massa, F., et al.: End-to-end object detection with transformers. In: European conference on computer vision, pp. 213–229. Springer, Cham (2020)

5. Yang, Y., et al.: Insulator identification and self-shattering detection based on mask region with convolutional neural network. J. Electron. Imaging 28(5), 1–10 (2019). (in Chinese)

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