%0 Conference Paper %1 conf/wacv/BouniotLHA23 %A Bouniot, Quentin %A Loesch, Angélique %A Habrard, Amaury %A Audigier, Romaric %B WACV %D 2023 %I IEEE %K dblp %P 75-84 %T Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient? %U http://dblp.uni-trier.de/db/conf/wacv/wacv2023.html#BouniotLHA23 %@ 978-1-6654-9346-8

@inproceedings{conf/wacv/BouniotLHA23, added-at = {2024-05-07T00:00:00.000+0200}, author = {Bouniot, Quentin and Loesch, Angélique and Habrard, Amaury and Audigier, Romaric}, biburl = {https://www.bibsonomy.org/bibtex/2cd0fc1996975992bb0a28116713cbee5/dblp}, booktitle = {WACV}, crossref = {conf/wacv/2023}, ee = {https://doi.org/10.1109/WACV56688.2023.00016}, interhash = {087f42703807aba26aeea80e283e6b74}, intrahash = {cd0fc1996975992bb0a28116713cbee5}, isbn = {978-1-6654-9346-8}, keywords = {dblp}, pages = {75-84}, publisher = {IEEE}, timestamp = {2024-05-13T08:25:35.000+0200}, title = {Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient?}, url = {http://dblp.uni-trier.de/db/conf/wacv/wacv2023.html#BouniotLHA23}, year = 2023 }