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Clicks2Line: Using Lines for Interactive Image Segmentation

arXiv 2404.18461 ↗First posted 29 Apr 2024cs.CVcited by 0

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Abstract (arXiv)

For click-based interactive segmentation methods, reducing the number of clicks required to obtain a desired segmentation result is essential. Although recent click-based methods yield decent segmentation results, we observe that substantial amount of clicks are required to segment elongated regions. To reduce the amount of user-effort required, we propose using lines instead of clicks for such cases. In this paper, an interactive segmentation algorithm which adaptively adopts either clicks or lines as input is proposed. Experimental results demonstrate that using lines can generate better segmentation results than clicks for several cases.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 13 references that are in the map. First posted on arXiv 29 Apr 2024.

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References · 5

  1. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  2. 2021Reviving Iterative Training with Mask Guidance for Interactive Segmentationcited by 162
  3. 2016Deep Interactive Object Selectioncited by 160
  4. 2020f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentationcited by 117
  5. 2022SimpleClick: Interactive Image Segmentation with Simple Vision Transformerscited by 109

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