Previous deep learning-based line segment detection (LSD) suffers from the immense model size and high computational cost for prediction. This constrains them real-time inference on computationally restricted environments. In this paper, we propose a light-weight detector resource-constrained environments named Mobile LSD (M-LSD). We design an extremely efficient architecture by minimizing back...