Weakly Supervised Silhouette-based Semantic Scene Change Detection
Ken Sakurada,Mikiya Shibuya,Weimin Wang,Ken Sakurada,Mikiya Shibuya,Weimin Wang
This paper presents a novel semantic scene change detection scheme with only weak supervision. A straightforward approach for this task is to train a semantic change detection network directly from a large-scale dataset in an end-to-end manner. However, a specific dataset for this task, which is usually labor-intensive and time-consuming, becomes indispensable. To avoid this problem, we propose to...
