iccv19 light weight face recognition challenge tips

[nttstar]

Challenge Information:

HomePage, please read carefully about the training and testing rules.

How To Start:

Please check https://github.com/deepinsight/insightface/tree/master/iccv19-challenge for detail.

Any question can be left here.

[borisgribkov]

HI @nttstar, my traditional question regarding the dataset, is it already 5-keypoints aligned? Sorry, have not downloaded it.

[nttstar]

@borisgribkov Yes already aligned, so no need to further process on it.

[zhouwei5113]

@nttstar what's the difference between ms1m-retinaface-t1.zip and ms1m-v2(emore)?

[nttstar]

@zhouwei5113 ms1m-retinaface has different clean list than ms1m-arcface and it has been re-aligned with our RetinaFace detector. You must use ms1m-retinaface to participate in this challenge, all other training-sets including ms1m-arcface are not allowed.

[leolordwz]

Hi, @nttstar, could you please share with us how the provided dataset generated from ms-1m aligned dataset. I tried to upscale images in ms-1m aligned dataset to 400x400, but the landmarks do not match. It would be great if you could share with us the preparation process.

[nttstar]

@leolordwz it's not allowed for this challenge.

[chenshen03]

How can I take part in the iccv19 light weight face recognition challenge?

[nttstar]

@chenshen03 Test datasets and test server will be ready soon, any question on training?

[jamessmith90]

@nttstar Can you provide more info about RetinaFace Detector ?

[LCorleone]

@nttstar
Is the test set aligned by RetinaFace？ If not, will you release the RetinaFace Detector？
Many thanks！

[nttstar]

@LCorleone They're both aligned by RetinaFace, so no need to do anything on training or testing datasets.

[nttstar]

@BingranHu We can get higher accuracy on LFW, CFP_FP and AgeDB_30 by the help of ms1m-retinaface.

[xizi]

@nttstar Hi, where is the download links of test data?

[nttstar]

@xizi Not ready yet.