Few-Shot Learning is a sub-area of machine learning. It’s about classifying new data when you have only a few training samples with supervised information.
FSL is a rather young area that needs more research and refinement. As of today, you can use it in CV tasks. A computer vision model can work
发表了文章2023-03-15
Understanding Few-Shot Learning in Computer Vision: What You Need to Know