Update link in the page and add support section

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@ -21,13 +21,17 @@ This project is geared towards ML practitioners and enthusiasts who are actively
Version|Release Date |Source
-------|-------------|------
V0.1 |May 26, 2020|[source](https://github.cds.internal.unity3d.com/unity/google-dr-paper)
V0.1 |May 26, 2020|[source](https://github.com/Unity-Technologies/SynthDet)
## Citation
SynthDet was inspired by the following research paper from Google Cloud AI:
Hinterstoisser, S., Pauly, O., Heibel, H., Marek, M., & Bokeloh, M. (2019). [*An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Instance Detection.* ](https://arxiv.org/pdf/1902.09967.pdf)
## Support
For general questions or concerns please contact the Perception team at the email address perception@unity3d.com
For feedback, bugs, or other issues please file a github issue and the Perception team will investigate the issue as soon as possible.
<!--## Additional Resources
---Annotated real dataset---