%0 Conference Paper %1 conf/icip/Penaud-PolgeVA22 %A Penaud-Polge, Valentin %A Velasco-Forero, Santiago %A Angulo, Jesús %B ICIP %D 2022 %I IEEE %K dblp %P 2421-2425 %T Fully Trainable Gaussian Derivative Convolutional Layer. %U http://dblp.uni-trier.de/db/conf/icip/icip2022.html#Penaud-PolgeVA22 %@ 978-1-6654-9620-9

@inproceedings{conf/icip/Penaud-PolgeVA22, added-at = {2023-02-03T00:00:00.000+0100}, author = {Penaud-Polge, Valentin and Velasco-Forero, Santiago and Angulo, Jesús}, biburl = {https://www.bibsonomy.org/bibtex/2fac1c1b216e61a222f8a9cb4eaa58ca2/dblp}, booktitle = {ICIP}, crossref = {conf/icip/2022}, ee = {https://doi.org/10.1109/ICIP46576.2022.9897734}, interhash = {946b0614deb493e8a5c3cb89df075806}, intrahash = {fac1c1b216e61a222f8a9cb4eaa58ca2}, isbn = {978-1-6654-9620-9}, keywords = {dblp}, pages = {2421-2425}, publisher = {IEEE}, timestamp = {2024-04-09T09:42:56.000+0200}, title = {Fully Trainable Gaussian Derivative Convolutional Layer.}, url = {http://dblp.uni-trier.de/db/conf/icip/icip2022.html#Penaud-PolgeVA22}, year = 2022 }