Recently, deep learning has made remarkable achievements in many computer vision and machine learning tasks. From the supervised learning, which initially relied on massive amounts of big annotated data, researches begin to explore the ability of learning from the limited exemplars, and new paradigms of representation learning in higher dimensional space.
The Visual Intelligence Group in School of Data Science, Fudan University will hold the 2nd Visual Intelligence Seminar on Few-shot Learning on July 28~29, 2022. We organize our group meeting by introducing the published papers of our groups, as well as inviting several distinguished speakers to share the recent progress on some research tasks that we are concerned. We release our interior group meeting as the seminar online.
