Point Supervised Instance Segmentation

Point-Supervised Instance Segmentation is a sub-task in the field of computer vision that aims to precisely segment each instance in an image through point labels. This task leverages a small number of annotated points to guide the model's learning, achieving efficient and accurate instance-level object recognition and segmentation. It holds significant application value, especially in scenarios where the annotation cost for large-scale datasets is prohibitively high.