Megvii-BaseDetection / Megvii-BaseDetection/DisAlign
训练分类模型是需要分两个阶段吗
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- Dominant language
- Python
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- 118
- Forks
- 10
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Description
文中有提到分两个阶段训练分类模型,是先用celoss分类作为预训练,再用disalign分类吗?能直接用disalign用一个stage来得到模型吗?
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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 does not name a file, test, or training entry point. Read the referenced training documentation and configuration or command examples to determine whether the classification model requires two stages, then document the supported one-stage and two-stage workflows and their expected outcomes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100