Details about the consist loss
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- Dominant language
- Python
- Stars
- 13.7k
- Forks
- 1.3k
- PR merge metrics
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Description
Dear open-source community and contributors:
Thanks to the contributors for open-sourcing this amazing repository! I find there is a loss called $L_{consist}$ in Supp A.2, which is describe as "penalizes the variance of attributes associated with the same voxel vertex". How it implement? If you haven't prepared code, you could briefly describe in nature language. Thank you!
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with Supp A.2 and locate the definition of L_consist in the repository. Done means providing a natural-language explanation of how the loss penalizes attribute variance for the same voxel vertex, or documenting that no implementation is available.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100