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Saliency-guided instance segmentation of pole-like objects in dense ground-based point clouds
Journal article describing a saliency-guided approach to instance segmentation targeting pole-like objects in dense ground-based point clouds, published by Elsevier BV. The supplied source fields include only the article title, publisher, content type, and publication date.
Categories: technology
Generated scores
Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.
- Confidence
- 5/10
- Geographic reach
- 1/10
- Global importance
- 2/10
- Impact magnitude
- 2/10
- Positivity
- 6/10
- Urgency
- 1/10
Why it matters
Presents a technical method for detecting and segmenting pole-like objects in ground-based 3D point-cloud data.

