Few-shot contrastive learning for image classification and its application to insulator identification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-02769-6.pdf
Reference68 articles.
1. Anselme N, TN H, Hyeon KD, Tae KK, Seon HC (2021) Deep learning based caching for Self-Driving cars in Multi-Access edge computing. IEEE Trans Intell Transp Syst 22(5):2862–2877. https://doi.org/10.1109/tits.2020.2976572
2. Justin K, Lipo W, Jai R, Tchoyoson L (2018) Deep learning applications in medical image analysis. IEEE Access 6:9375–9389. https://doi.org/10.1109/access.2017.2788044
3. Alberto G -G, Sergio O -E, Sergiu O, Victor V -M, Pablo M -G, Jose G -R (2018) A survey on deep learning techniques for image and video semantic segmentation. Appl Soft Comput 70:41–65. https://doi.org/10.1016/j.asoc.2018.05.018
4. Yan Q, Guangning W, Zhang X, Yujun G, Xueqin Z, Kai L (2019) An Extreme-Learning-Machine-Based hyperspectral detection method of insulator pollution degree. IEEE Access 7:121156–121164. https://doi.org/10.1109/access.2019.2937885
5. Zhenbing Z, Xiaoqing F, Guozhi X, Lei Z, Yincheng Q, Ke Z (2017) Aggregating deep convolutional feature maps for insulator detection in infrared images. IEEE Access 5:21831–21839. https://doi.org/10.1109/access.2017.2757030
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