Add 3-augment from DeiT III
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- Dominant language
- Python
- Stars
- 17.9k
- Forks
- 7.3k
- Avg merge
- 1d 15h
- Merged PRs (30d)
- 13
Description
🚀 The feature
As the title suggest, add the data augmentation from https://arxiv.org/abs/2204.07118
Motivation, pitch
This seems to be a simple recipe with good results and the Deit family is widely recognized.
Alternatives
No response
Additional context
No response
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
Start by reading the linked DeiT III paper to define the 3-augment recipe, then inspect torchvision's existing augmentation APIs and related tests. No implementation file or test is named in the issue; done means the augmentation is available through the appropriate torchvision interface and its behavior is covered by tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100