Refinement for absolute pose regression with neural feature synthesis
Absolute Pose Regression (APR) methods use deep neural networks to directly regress camera poses from RGB images. Despite their advantages in inference speed and simplicity, these methods still fall short of the accuracy achieved by geometry-based techniques. To address this issue, we propose a new...
| 主要な著者: | , , , , , , |
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| フォーマット: | Internet publication |
| 言語: | English |
| 出版事項: |
arXiv
2023
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