Box Supervised Instance Segmentation

Box-supervised Instance Segmentation aims to achieve instance segmentation using weakly supervised bounding box annotations. This task reduces the reliance on pixel-level annotations, lowering data annotation costs and improving model training efficiency, while maintaining high segmentation accuracy. In the field of computer vision, this technology is of great value for applications such as object detection, image understanding, and scene analysis.