Instance Boundary

Instance boundary detection focuses on accurately identifying the perimeters of individual objects within images or point clouds, a crucial step in various computer vision tasks like instance segmentation. Current research emphasizes improving boundary delineation through novel architectures, such as those incorporating boundary-aware clustering and leveraging pre-trained foundation models to provide strong boundary priors, often bypassing the need for extensive manual annotations. These advancements are significantly impacting fields like medical image analysis (e.g., whole slide image classification) and 3D scene reconstruction (e.g., roof plane segmentation) by enabling more accurate and efficient object identification.