Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
关于multiscale的收益请教
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- Dominant language
- Python
- Stars
- 10.6k
- Forks
- 2.5k
- PR merge metrics
- No merged PRs in 30d
Description
请问在训练中加入multiscale训练能带来多大的收益呢？YOLOX是否有对于multiscale进行过消融实验呢？
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
The issue contains only a question about the benefits of multiscale training and whether YOLOX has an ablation study; it names no files, tests, or entry points. Start by locating the multiscale training configuration and any existing experiment documentation. Done would require a documented, reproducible comparison and clear conclusions.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100