deepinsight / deepinsight/insightface
Margin Base Softmax in Face recognition
- Dominant language
- Python
- Stars
- 29.7k
- Forks
- 6.1k
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Description
I 've found that Margin base Softmax is config different for each dataset in Arcface_torch source.
But in Arcface_torch config only have margin base softmax( config.margin_list) for Glint360k, ms1mv, wf. I want to ask how to estimate or get the best params for each dataset. Such as Casia basically
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Research direction
Start with the Arcface_torch configuration and its config.margin_list entry, then compare how the settings are represented for Glint360k, ms1mv, wf, and Casia. Done would be a documented, dataset-specific method for estimating or selecting the Margin Base Softmax parameters.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- 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