Investigate decrease in mAP in retinanet resnet50 model
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Nobody has claimed this yet.
module: models
topic: object detection
- Dominant language
- Python
- Stars
- 17.9k
- Forks
- 7.3k
- Avg merge
- 1d 15h
- Merged PRs (30d)
- 13
Description
🐛 Describe the bug
Reference: https://github.com/pytorch/vision/pull/4409#issuecomment-920723588
cc @datumbox
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 with the referenced pull request comment at https://github.com/pytorch/vision/pull/4409#issuecomment-920723588 and compare the reported RetinaNet ResNet50 mAP behavior. The issue does not name files, tests, or an entry point; done means identifying the cause of the decrease and documenting or correcting the resulting behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100