deepinsight / deepinsight/insightface

Margin Base Softmax in Face recognition

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Dominant language
Python
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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.

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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

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