%0 Journal Article %1 journals/access/SuzukiTMAMS22 %A Suzuki, Satoshi %A Takeda, Shoichiro %A Makishima, Naoki %A Ando, Atsushi %A Masumura, Ryo %A Shouno, Hayaru %D 2022 %J IEEE Access %K dblp %P 68384-68396 %T Knowledge Transferred Fine-Tuning: Convolutional Neural Network Is Born Again With Anti-Aliasing Even in Data-Limited Situations. %U http://dblp.uni-trier.de/db/journals/access/access10.html#SuzukiTMAMS22 %V 10

@article{journals/access/SuzukiTMAMS22, added-at = {2022-07-25T00:00:00.000+0200}, author = {Suzuki, Satoshi and Takeda, Shoichiro and Makishima, Naoki and Ando, Atsushi and Masumura, Ryo and Shouno, Hayaru}, biburl = {https://www.bibsonomy.org/bibtex/207f4953eac56baef224017708ba67c40/dblp}, ee = {https://doi.org/10.1109/ACCESS.2022.3186101}, interhash = {9e884f8366517c0c05aabe7645cf7876}, intrahash = {07f4953eac56baef224017708ba67c40}, journal = {IEEE Access}, keywords = {dblp}, pages = {68384-68396}, timestamp = {2024-04-08T13:46:12.000+0200}, title = {Knowledge Transferred Fine-Tuning: Convolutional Neural Network Is Born Again With Anti-Aliasing Even in Data-Limited Situations.}, url = {http://dblp.uni-trier.de/db/journals/access/access10.html#SuzukiTMAMS22}, volume = 10, year = 2022 }