%0 Conference Paper %1 conf/icmcs/ChenXLLQL23 %A Chen, Chaoran %A Xu, Mai %A Li, Shengxi %A Liu, Tie %A Qiao, Minglang %A Lv, Zhuoyi %B ICME %D 2023 %I IEEE %K dblp %P 1463-1468 %T Residual based hierarchical feature compression for multi-task machine vision. %U http://dblp.uni-trier.de/db/conf/icmcs/icme2023.html#ChenXLLQL23 %@ 978-1-6654-6891-6

@inproceedings{conf/icmcs/ChenXLLQL23, added-at = {2023-09-05T00:00:00.000+0200}, author = {Chen, Chaoran and Xu, Mai and Li, Shengxi and Liu, Tie and Qiao, Minglang and Lv, Zhuoyi}, biburl = {https://www.bibsonomy.org/bibtex/28354882cf7ab5684950266b4a540240c/dblp}, booktitle = {ICME}, crossref = {conf/icmcs/2023}, ee = {https://doi.org/10.1109/ICME55011.2023.00253}, interhash = {2286ec8ed494662f23172560f358ce80}, intrahash = {8354882cf7ab5684950266b4a540240c}, isbn = {978-1-6654-6891-6}, keywords = {dblp}, pages = {1463-1468}, publisher = {IEEE}, timestamp = {2024-04-09T19:55:55.000+0200}, title = {Residual based hierarchical feature compression for multi-task machine vision.}, url = {http://dblp.uni-trier.de/db/conf/icmcs/icme2023.html#ChenXLLQL23}, year = 2023 }