Mask R-CNN based Object Detection in Overhead Transmission Line from UAV Images-Reference-Cited by-同舟云学术

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Mask R-CNN based Object Detection in Overhead Transmission Line from UAV Images

Published:2022 Issue: Volume: Page:639-653
ISSN:2367-3370
Container-title:Third International Conference on Image Processing and Capsule Networks
language:
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Author:

Satheeswari D.,Shanmugam Leninisha,Swaroopan N. M. Jothi,Venkatachalam Nirmala

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-12413-6_50

Reference38 articles.

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2. Khalid, S., Khalil, T., Nasreen, S.: A survey of feature selection and feature extraction techniques in machine learning. In: Science and Information Conference (2014). https://doi.org/10.1109/SAI.2014.6918213

3. Minaee, S., Boykov, Y.Y., Porikli, F., Plaza, A.J., Kehtarnavaz, N., Terzopoulos, D.: Image segmentation using deep learning: a survey. In: IEEE Transactions on Pattern Analysis and Machine Intelligence (2021). https://doi.org/10.1109/TPAMI.2021.3059968

4. Jabid, T., Udin, M.Z.: Rotation invariant power line insulator detection using local directional pattern and support vector machine. In: International Conference on Innovations in Science, Engineering and Technology (ICISET), pp. 1–4 (2016). https://doi.org/10.1109/ICISET.2016.7856522

5. Nie, S., Jiang, Z., Zhang, H., Cai, B., Yao, Y.: Inshore ship detection based on mask R-CNN. In: IGARSS 2018 – 2018 IEEE International Geoscience and Remote Sensing Symposium, pp. 693–696. IEEE (2018). https://doi.org/10.1109/IGARSS.2018.8519123

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