Anomaly detection of power line insulator from aerial imagery with attribute self-supervised learning
Author:
Affiliation:
1. School of Electrical and Information Engineering, Tianjin University, Tianjin, China
2. Department of Electronic and Electrical Engineering, Brunel University London, Uxbridge, U.K
Funder
National Natural Science Foundation of China
Key Research & Development and Transformation Plan of Science and Technology Program for Tibet Autonomous Region
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.1934592
Reference40 articles.
1. Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection
2. Unsupervised Visual Representation Learning by Context Prediction
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