Isn't the model sensor-independent?
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 275
- Forks
- 46
- PR merge metrics
- No merged PRs in 30d
Description
Hi：
Thanks for this great work. In the paper you said: _Since our proposed denoising network needs to be trained for specific sensors_. So, we need train sifferent model for different sensor?
But, in my opinion. Eqn. (10) indicates that the model can be used for any sensor after k-Sigma Transform
Contributor guide
No contributing guide indexed for this repository
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 by reading the paper's statement about sensor-specific training and Eq. (10), then inspect the repository's model and preprocessing entry points to compare that claim with the implementation. The issue is done when the sensor-independence question is resolved and the conclusion is documented for users.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100