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Revise paper and video links in README
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README.md

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- [Project Page](https://dynamic.robots.ox.ac.uk/projects/silvr/)
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- [Paper](https://arxiv.org/abs/2403.06877)
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- [Video](https://www.youtube.com/watch?v=kA11bdMbhMo)
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- [T-RO 25 Paper](https://arxiv.org/abs/2502.02657), [ICRA 24 Paper](https://arxiv.org/abs/2403.06877)
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- [T-RO 25 Video](https://www.youtube.com/watch?si=yREPN_90_kxuvwxn&v=AU6gvRFfCMQ&feature=youtu.be), [ICRA 24 Video](https://www.youtube.com/watch?v=kA11bdMbhMo)
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- [Dataset](https://dynamic.robots.ox.ac.uk/datasets/oxford-spires/)
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## News
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(Sep 2025) SiLVR with uncertainty estimation has been accepted by the IEEE Transactions on Robotics (T-RO).
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Check out the new [paper](https://arxiv.org/abs/2502.02657) and [video](https://www.youtube.com/watch?si=yREPN_90_kxuvwxn&v=AU6gvRFfCMQ&feature=youtu.be). New code will be released also here.
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(Sep 2025) SiLVR with uncertainty estimation has been accepted by the [IEEE Transactions on Robotics (T-RO)](https://www.ieee-ras.org/publications/t-ro) and it will appear in the [Special Section on Visual SLAM](https://www.ieee-ras.org/publications/t-ro/special-issues/visual-slam). New code will be released also here.
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## Setup
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### Docker
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Build a docker image to install dependencies and run SiLVR.

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