Corpus ID: 230770384

Line Segment Detection Using Transformers without Edges

@article{Xu2021LineSD,
  title={Line Segment Detection Using Transformers without Edges},
  author={Yifan Xu and W. Xu and David Cheung and Zhuowen Tu},
  journal={ArXiv},
  year={2021},
  volume={abs/2101.01909}
}

• Yifan Xu, W. Xu, +1 author Zhuowen Tu
• Published 2021
• Computer Science
• ArXiv

In this paper, we present a holistically end-to-end algorithm for line segment detection with transformers that is post-processing and heuristics-guided intermediate processing (edge/junction/region detection) free. Our method, named LinE segment TRansformers (LETR), tackles the three main problems in this domain, namely edge element detection, perceptual grouping, and holistic inference by three highlights in detection transformers (DETR) including tokenized queries with integrated encoding… Expand

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