Figure 4. The detailed architecture of our method. Initially, we sample instances from the old data according to their classes. Subsequently,
during the class combination, we identify the potential old classes through the old model. In the instance selection, we select the instances
of potential classes from the instance pool. After that, we calculate the position in new image to replay the instance and fuse them with the
new image to create a fused image. Finally, the fused image is trained in an enhanced way.