Feature proposal: Cutout
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 17.9k
- Forks
- 7.3k
- Avg merge
- 1d 15h
- Merged PRs (30d)
- 13
Description
Improved Regularization of Convolutional Neural Networks with Cutout proposes a simple and effective method for regularization. I think it would fit greatly in the torchvision.transforms toolbox, and am willing to contribute an implementation with a proper test, if that's okay.
Contributor guide
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
The proposal points to the torchvision.transforms toolbox and the linked Cutout paper; start by reading the paper and examining the existing transform entry point. Done means adding a Cutout implementation with a proper test, as proposed in the issue.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100