Consecutive Pre-Training: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain
Currently, under supervised learning, a model pre-trained by a large-scale nature scene dataset and then fine-tuned on a few specific task labeling data is the paradigm that has dominated knowledge transfer learning. Unfortunately, due to different categories of imaging data and stiff challenges of...
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| Principais autores: | , , , , , , |
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| 格式: | Artigo |
| 语言: | Inglês |
| 出版: |
MDPI AG
2022-11-01
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| 丛编: | Remote Sensing |
| 主题: | |
| 在线阅读: | https://www.mdpi.com/2072-4292/14/22/5675 |
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