[LETR] Line Segment Detection via Transformers (no Edges)(CVPR.2021 oral)

1. Motivation

Despite its practical and scientific importance, line segment detection remains an unsolved problem in computer vision.

Deep learning techniques still consist of heuristics-guided modules such as edge/junction/region detection, line grouping, and post-processing, limiting the scope of their performance enhancement and further development.

Can we directly model all the vectorized line segments with a neural network? We are motivated by the fol- lowing observations for the Transformer frameworks.