Feature division and fusion for multi-task dense prediction
In MTL, how to simplify the high-level task network structure while improving the model’s performance across multiple tasks, while effectively utilizing the inter-task correlation to further enhance the model’s generalization ability, re mains a challenging problem. Most multi-task dense predic...
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| 主要作者: | |
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| 其他作者: | |
| 格式: | Thesis-Master by Coursework |
| 語言: | English |
| 出版: |
Nanyang Technological University
2025
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/184728 |
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