Image Level Supervised Instance Segmentation

Image-level Supervised Instance Segmentation is a crucial task in the field of computer vision, aiming to achieve precise segmentation of each instance in an image using only image-level annotation information. Compared to traditional pixel-level annotations, this method reduces annotation costs and improves data acquisition efficiency, thereby demonstrating higher practicality and cost-effectiveness on large-scale datasets. This technology holds significant value in applications such as object detection, scene understanding, and medical image analysis.