%0 Conference Paper %1 conf/cvpr/HuangXMLJML24 %A Huang, Duojun %A Xiong, Xinyu %A Ma, Jie %A Li, Jichang %A Jie, Zequn %A Ma, Lin %A Li, Guanbin %B CVPR %D 2024 %I IEEE %K dblp %P 3205-3215 %T AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning. %U http://dblp.uni-trier.de/db/conf/cvpr/cvpr2024.html#HuangXMLJML24 %@ 979-8-3503-5300-6

@inproceedings{conf/cvpr/HuangXMLJML24, added-at = {2024-10-04T00:00:00.000+0200}, author = {Huang, Duojun and Xiong, Xinyu and Ma, Jie and Li, Jichang and Jie, Zequn and Ma, Lin and Li, Guanbin}, biburl = {https://www.bibsonomy.org/bibtex/2fdd56c53f5c619f31d7ec0e2820f716a/dblp}, booktitle = {CVPR}, crossref = {conf/cvpr/2024}, ee = {https://doi.org/10.1109/CVPR52733.2024.00309}, interhash = {c61066af154ce706271c3c2ff33efe6e}, intrahash = {fdd56c53f5c619f31d7ec0e2820f716a}, isbn = {979-8-3503-5300-6}, keywords = {dblp}, pages = {3205-3215}, publisher = {IEEE}, timestamp = {2024-10-07T08:08:29.000+0200}, title = {AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning.}, url = {http://dblp.uni-trier.de/db/conf/cvpr/cvpr2024.html#HuangXMLJML24}, year = 2024 }