Content-dependency reduction with multi-task learning in blind stitched panoramic image quality assessment
In this work, we investigate deep learning based solutions to blind quality assessment of stitched panoramic images (SPI). The main problem to tackle is that the ground truth data is usually insufficient. As a result, the learned model can easily overfit data with specific content. Because most dist...
| Main Authors: | , , |
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| 其他作者: | |
| 格式: | Conference Paper |
| 语言: | English |
| 出版: |
2020
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| 主题: | |
| 在线阅读: | https://hdl.handle.net/10356/144376 |