Motivation around setting beta to 1/9
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Description
Hi everyone,
I was wondering what was the motivation around setting the beta parameter for the smooth L1 loss for faster RCNN to 1/9.
The line in question is here: https://github.com/pytorch/vision/blame/8a0b491e51197edd9ca9f9ad7f6d9147ac8a209d/torchvision/models/detection/roi_heads.py#L44
Is this based on some work / intution I could be able to track (but wasn't) or was it a "good guess"?
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Research direction
Start with the beta definition at torchvision/models/detection/roi_heads.py#L44 and inspect the linked Git blame history. Trace any referenced Faster R-CNN or smooth L1 loss sources mentioned in that history. Done means identifying and recording the rationale or source for the 1/9 value, if one exists.
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Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100