Depth Estimation
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minor README updates

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@@ -15,7 +15,7 @@ license_link: LICENSE
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  <a href=""><img src='https://img.shields.io/badge/arXiv-WildCross-red' alt='Paper PDF'></a>
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  <a href=''><img src='https://img.shields.io/badge/Project_Page-WildCross-green' alt='Project Page'></a>
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- <a href='https://huggingface.co/CSIRORobotics/WildCross'><img src='https://img.shields.io/badge/Dataset_Download-WildCross-blue'></a>
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  </div>
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  This repository contains the pre-trained checkpoints for a variety of tasks on the WildCross benchmark
@@ -24,21 +24,17 @@ This repository contains the pre-trained checkpoints for a variety of tasks on t
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  If you find this repository useful or use the WildCross dataset in your work, please cite us using the following:
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  ```
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- @misc{knights2025wildcross,
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  title={{WildCross: A Cross-Modal Large Scale Benchmark for Place Recognition and Metric Depth Estimation in Natural Environments}},
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  author={Joshua Knights, Joseph Reid, Mark Cox, Kaushik Roy, David Hall, Peyman Moghadam},
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- year={2025},
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- eprint={xxxxxxxxx},
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- archivePrefix={arXiv},
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- primaryClass={cs.CV},
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- url={https://arxiv.org/abs/xxxxxxxxxx},
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  }
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-
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-
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  ```
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  ## Download Instructions
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- Our dataset can be downloaded through the [**CSIRO Data Access Portal**](''). Detailed instructions for downloading the dataset can be found in the README file provided on the data access portal page.
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  ## Training and Benchmarking
 
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  <a href=""><img src='https://img.shields.io/badge/arXiv-WildCross-red' alt='Paper PDF'></a>
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  <a href=''><img src='https://img.shields.io/badge/Project_Page-WildCross-green' alt='Project Page'></a>
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+ <a href='https://doi.org/10.25919/5fmy-yg37'><img src='https://img.shields.io/badge/Dataset_Download-WildCross-blue'></a>
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  </div>
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  This repository contains the pre-trained checkpoints for a variety of tasks on the WildCross benchmark
 
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  If you find this repository useful or use the WildCross dataset in your work, please cite us using the following:
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  ```
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+ @inproceedings{2026wildcross,
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  title={{WildCross: A Cross-Modal Large Scale Benchmark for Place Recognition and Metric Depth Estimation in Natural Environments}},
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  author={Joshua Knights, Joseph Reid, Mark Cox, Kaushik Roy, David Hall, Peyman Moghadam},
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+ booktitle={2026 IEEE international conference on robotics and automation (ICRA)},
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+ year={2026},
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+ organization={IEEE},
 
 
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  }
 
 
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  ```
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  ## Download Instructions
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+ Our dataset can be downloaded through the [**CSIRO Data Access Portal**](https://doi.org/10.25919/5fmy-yg37). Detailed instructions for downloading the dataset can be found in the README file provided on the data access portal page.
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  ## Training and Benchmarking