%0 Conference Paper %1 conf/apit/ShenS22 %A Shen, Yulin %A Shuai, Xian %B APIT %D 2022 %I ACM %K dblp %P 9-14 %T 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. %U http://dblp.uni-trier.de/db/conf/apit/apit2022.html#ShenS22 %@ 978-1-4503-9557-1

@inproceedings{conf/apit/ShenS22, added-at = {2024-02-05T00:00:00.000+0100}, author = {Shen, Yulin and Shuai, Xian}, biburl = {https://www.bibsonomy.org/bibtex/28df90b3cd15ab9f1a3bb1dc43cbfcaf8/dblp}, booktitle = {APIT}, crossref = {conf/apit/2022}, ee = {https://doi.org/10.1145/3512353.3512355}, interhash = {4b903d4932f1cd4c6014cf8f52f3bcaf}, intrahash = {8df90b3cd15ab9f1a3bb1dc43cbfcaf8}, isbn = {978-1-4503-9557-1}, keywords = {dblp}, pages = {9-14}, publisher = {ACM}, timestamp = {2024-04-10T02:42:22.000+0200}, title = {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.}, url = {http://dblp.uni-trier.de/db/conf/apit/apit2022.html#ShenS22}, year = 2022 }