Megvii-BaseDetection / Megvii-BaseDetection/BEVDepth
To use resnet50 and regnet1.6gf as backbone with input size 896x1600 get same metrices mAP is 0.40?
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- Python
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Description
Why is same metrices to use resnet50 and regnet1.6gf as backbone with input size 896x1600 get same mAP 0.40?
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Research direction
Reproduce the reported comparison using resnet50 and regnet1.6gf as backbones with input size 896x1600, and verify the mAP results. Then determine whether the identical 0.40 mAP is expected or indicates an evaluation or configuration problem; no files or tests are identified in the issue.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100