Instance Segmentation of Transmission Line Images Based on an Improved D-SOLO Network-Reference-Cited by-同舟云学术

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Instance Segmentation of Transmission Line Images Based on an Improved D-SOLO Network

Published:2021-12-26 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 3rd International Conference on Power Data Science (ICPDS)
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Author:

Han Yufei¹,Han Jun¹,Ni Zaojun¹,Wang Wenshuai¹,Jiang Haiyan¹

Affiliation:

1. Shanghai University,School of Communication & Information Engineering,Shanghai,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9690053/9689921/09689924.pdf?arnumber=9689924

Reference30 articles.

1. YOLACT: Real-Time Instance Segmentation

2. Encoder-decoder with atrous separable convolution for semantic image segmentation;chen;Proceedings of the European Conference on Computer Vision (ECCV),2018

3. Attention is all you need;vaswani;In Advances in Neural Information Processing Systems,2017

4. Deformable ConvNets V2: More Deformable, Better Results

5. Solo: Segmenting objects by locations;xinlong;2017 IEEE International Conference on Computer Vision (ICCV),2020

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