One Shot Instance Segmentation

One-Shot Instance Segmentation is a sub-task in the field of computer vision that aims to perform instance segmentation of specific objects using a single example image. The goal of this task is to accurately identify and segment instances of the same category as the example in unseen scenes, demonstrating a high degree of generalization capability. Its application value lies in the ability to rapidly adapt to new objects, reducing the need for annotated data, and it is suitable for scenarios such as real-time detection and medical image analysis.