zhanghang1989 / zhanghang1989/PyTorch-Encoding
SE Loss
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- Dominant language
- Python
- Stars
- 2k
- Forks
- 448
- PR merge metrics
- No merged PRs in 30d
Description
论文中提到了SE Loss在解决一些小物体识别的准确性，但论文中没有给出loss的具体形式，也没有ablation study实验结果。想请教一下loss的具体形式
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
No file, test, or entry point is named. Start by locating the SE Loss implementation and the related paper, then determine whether the loss formula and ablation results are documented in the repository; done means providing an authoritative explanation or adding the missing documentation.
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
- 20/100