Guo-Hua Ji

Learning Deformation-Induced Shape Representations for Building Footprints via Self-Supervision

This work proposes Deformation-Induced Self-Supervised Learning (DI-SSL), a framework that explicitly defines similarity through Geometric-Aware Deformations (GAD), jointly characterizing structural comparability between shapes and ensuring geometrically valid, structurally coherent variants under controlled form devia...