Joint Instance Segmentation and Geometric Attribute Regression for Roof Structures in Aerial Imagery 事件

Joint Instance Segmentation and Geometric Attribute Regression for Roof Structures in Aerial Imagery arXiv:2605.26370v1 Announce Type: new Abstract: We present a method for jointly predicting instance-level roof segment masks together with three continuous geometric attributes -- building height, roof slope, and roof azimuth -- from a single aerial orthophoto. Our approach extends Mask R-CNN with a dedicated attribute regression branch and introduces two key innovations: a conditional azimuth l