mlsanityData to 14 Oct 2026

PL-UNeXt: Per-stage Edge Detail and Line Feature Guided Segmentation for Power Line Detection

arXiv 2303.04413 ↗First posted 8 Mar 2023cs.CVcited by 1

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Abstract (arXiv)

Power line detection is a critical inspection task for electricity companies and is also useful in avoiding drone obstacles. Accurately separating power lines from the surrounding area in the aerial image is still challenging due to the intricate background and low pixel ratio. In order to properly capture the guidance of the spatial edge detail prior and line features, we offer PL-UNeXt, a power line segmentation model with a booster training strategy. We design edge detail heads computing the loss in edge space to guide the lower-level detail learning and line feature heads generating auxiliary segmentation masks to supervise higher-level line feature learning. Benefited from this design, our model can reach 70.6 F1 score (+1.9%) on TTPLA and 68.41 mIoU (+5.2%) on VITL (without utilizing IR images), while preserving a real-time performance due to few inference parameters.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 17 of its 21 references that are in the map. First posted on arXiv 8 Mar 2023.

Builds on

17 of 21 references.

References · 17

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  2. 2016Feature Pyramid Networks for Object Detectioncited by 5,036
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  8. 2022UNeXt: MLP-based Rapid Medical Image Segmentation Networkcited by 185
  9. 2019MMTM: Multimodal Transfer Module for CNN Fusioncited by 129
  10. 2021Rethinking BiSeNet For Real-time Semantic Segmentationcited by 124
  11. 2018Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mappingcited by 113
  12. 2019End-to-End Wireframe Parsingcited by 72
5 more
  1. 2020Holistically-Attracted Wireframe Parsingcited by 64
  2. 2018Learning Attraction Field Representation for Robust Line Segment Detectioncited by 52
  3. 2020TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Linescited by 28
  4. 2021Fully Convolutional Line Parsingcited by 24
  5. 2022PLGAN: Generative Adversarial Networks for Power-Line Segmentation in Aerial Imagescited by 7

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Citing papers per year: 2024: 1.

1 paper.

  1. 2024Vision-Based Power Line Cables and Pylons Detection for Low Flying Aircraftcited by 0