%0 Conference Paper %1 conf/cvm/HaoTLMDCLX24 %A Hao, Tianran %A Tao, Ying %A Li, Meng %A Ma, Xiao %A Dong, Peng %A Cui, Lisha %A Lv, Pei %A Xu, Mingliang %B CVM (2) %D 2024 %E Zhang, Fang-Lue %E Sharf, Andrei %I Springer %K dblp %P 200-218 %T Foreground and Background Separate Adaptive Equilibrium Gradients Loss for Long-Tail Object Detection. %U http://dblp.uni-trier.de/db/conf/cvm/cvm2024-2.html#HaoTLMDCLX24 %V 14593 %@ 978-981-97-2092-7

@inproceedings{conf/cvm/HaoTLMDCLX24, added-at = {2024-05-17T00:00:00.000+0200}, author = {Hao, Tianran and Tao, Ying and Li, Meng and Ma, Xiao and Dong, Peng and Cui, Lisha and Lv, Pei and Xu, Mingliang}, biburl = {https://www.bibsonomy.org/bibtex/2826cf526e047eadce18c249657f9a595/dblp}, booktitle = {CVM (2)}, crossref = {conf/cvm/2024-2}, editor = {Zhang, Fang-Lue and Sharf, Andrei}, ee = {https://doi.org/10.1007/978-981-97-2092-7_10}, interhash = {e8a3584f645f71251c55f823e1d245b6}, intrahash = {826cf526e047eadce18c249657f9a595}, isbn = {978-981-97-2092-7}, keywords = {dblp}, pages = {200-218}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-05-20T07:24:48.000+0200}, title = {Foreground and Background Separate Adaptive Equilibrium Gradients Loss for Long-Tail Object Detection.}, url = {http://dblp.uni-trier.de/db/conf/cvm/cvm2024-2.html#HaoTLMDCLX24}, volume = 14593, year = 2024 }