计算可视媒体（英文）2025，Vol.11Issue(5)：897-937,41.DOI:10.26599/CVM.2025.9450490
Remote sensing tuning:A survey
Remote sensing tuning:A survey
Dongshuo Yin 1Ting-Feng Zhao 2Deng-Ping Fan 2Shutao Li 3Bo Du 4Xian Sun 5Shi-Min Hu1
作者信息
- 1. BNRist,Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China
- 2. TKLNDST,College of Computer Science,Nankai University,Tianjin 300350,China
- 3. College of Electrical and Information Engineering and the Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province,Hunan University,Changsha 410082,China
- 4. School 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,China
- 5. Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100190,China
- 折叠
摘要
关键词
remote sensing/deep learning/foundation models/fine-tuning/pre-trainingKey words
remote sensing/deep learning/foundation models/fine-tuning/pre-training引用本文复制引用
Dongshuo Yin,Ting-Feng Zhao,Deng-Ping Fan,Shutao Li,Bo Du,Xian Sun,Shi-Min Hu..Remote sensing tuning:A survey[J].计算可视媒体（英文）,2025,11(5):897-937,41.基金项目
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. （62495061,62495064,and 62476143）
