Meta-learning Fine-tuned Feature Extractor for Few-shot Image Classification
Yulin Shen, Xian Shuai · 2022
research-article Share on Meta-learning Fine-tuned Feature Extractor for Few-shot Image Classification: A Case Study on Fine-tuning CNN Backbone with Transformer for Few-shot Learning Authors: Yulin Shen Computer Science and Engineering, University of Electronic Science and Technology of China, China Computer Science and Engineering, University of Electronic Science and Technology of China, ChinaView Profile , Xian Shuai The Chinese University of Hong Kong, China The Chinese University of Hong Kong, ChinaView Profile Authors Info & Claims APIT 2022: 2022 4th Asia Pacific Information Technology ConferenceJanuary 2022 Pages 9–14https://doi.org/10.1145/3512353.3512355Online:14 March 2022Publication History 0citation65DownloadsMetricsTotal Citations0Total Downloads65Last 12 Months65Last 6 weeks23 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access