%0 Conference Paper %1 conf/rivf/DinhN22 %A Dinh, Van-Ha Thi %A Nguyen, Thanh-An %B RIVF %D 2022 %I IEEE %K dblp %P 191-196 %T 3D-Inception-UNet: A Light-weight U-Net Variant with Inception Blocks for 3D Fault Segmentation in Seismic Data. %U http://dblp.uni-trier.de/db/conf/rivf/rivf2022.html#DinhN22 %@ 978-1-6654-6166-5

@inproceedings{conf/rivf/DinhN22, added-at = {2024-10-06T00:00:00.000+0200}, author = {Dinh, Van-Ha Thi and Nguyen, Thanh-An}, biburl = {https://www.bibsonomy.org/bibtex/2585fdf01e7130c94581a40b0c5a1e34f/dblp}, booktitle = {RIVF}, crossref = {conf/rivf/2022}, ee = {https://doi.org/10.1109/RIVF55975.2022.10013875}, interhash = {53ff9a6e813b1a2d0c5fda13a49fff34}, intrahash = {585fdf01e7130c94581a40b0c5a1e34f}, isbn = {978-1-6654-6166-5}, keywords = {dblp}, pages = {191-196}, publisher = {IEEE}, timestamp = {2024-10-07T10:25:24.000+0200}, title = {3D-Inception-UNet: A Light-weight U-Net Variant with Inception Blocks for 3D Fault Segmentation in Seismic Data.}, url = {http://dblp.uni-trier.de/db/conf/rivf/rivf2022.html#DinhN22}, year = 2022 }