Remote sensing tuning:A surveyOA
Remote sensing tuning:A survey
Dongshuo Yin;Ting-Feng Zhao;Deng-Ping Fan;Shutao Li;Bo Du;Xian Sun;Shi-Min Hu
BNRist,Department of Computer Science and Technology,Tsinghua University,Beijing 100084,ChinaTKLNDST,College of Computer Science,Nankai University,Tianjin 300350,ChinaTKLNDST,College of Computer Science,Nankai University,Tianjin 300350,ChinaCollege of Electrical and Information Engineering and the Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province,Hunan University,Changsha 410082,ChinaSchool of Computer Science,National Engineering Research Center for Multimedia Software,Institute of Artificial Intelligence,and Hubei Key Laboratory of Multimedia and Network Communication Engineering,Wuhan University,Wuhan 430072,ChinaAerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100190,ChinaBNRist,Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China
remote sensingdeep learningfoundation modelsfine-tuningpre-training
remote sensingdeep learningfoundation modelsfine-tuningpre-training
《计算可视媒体（英文）》 2025 (5)
897-937,41
This work was supported by the National Natural Science Foundation of China(62495061,62495064,and 62476143),the Tsinghua-Tencent Joint Laboratory for Internet Innovation Technology,and the Shuimu Tsinghua Scholar Program.
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