Comments (2)
About question 1, I think it is unnecessary to measure how the recognition quality degrades on the original MegaFace dataset for the same models, since the experiments illustrated here are used to demonstrate that for face recognition with masks, original datasets needs to change. So I think the question you actually want to ask is, whether the models trained on MegaFace-mask can be used to recognize the normal faces.
@wang21jun here. 😄
I guess the model trained on MegaFace-mask would perform worse on MegaFace, since the data distribution is quite different.
About question 2, I think it would be very easy to create MegaFace-mask dataset by using the files under /FaceX-Zoo/addition_module/face_mask_adding/FMA-3D/
.
Since you've got the face bounding box, then you can use the face alignment tools to get the corresponding 106 facial landmark detection results, after that, running add_mask_all.py
or add_mask_one.py
would both be OK.
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Whether the models trained on MegaFace-mask can be used to recognize the normal faces.
I'm curious about this. Have anyone done some experiments for this? Does the model trained on Megaface-mask can recognize faces as well as the model trained on MegaFace?
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Related Issues (20)
- 请问有没有pytorch安装接口?
- add a mask
- [face_sdk] Error when detect and align face-down
- render_cy error
- loading pretrained backbones
- model4 is missing on net disk
- semi-siamese traning error
- semi-siamese training error
- multi-processing
- Questions about DMUE training on different datasets HOT 3
- FileNotFoundError: [Errno 2] No such file or directory: './weights/AffectNet_res18_acc0.6285.pth'
- CASIA-MFSD Dataset
- swin transformer depoly HOT 1
- face_parsing first time inference waits too long
- Training and Testing Image Format - Was the training done on BGR images and testing on RGB?
- face_sdk的face_pipeline里,人脸检测模型已经输出了5个关键点,为什么还要用faceAlignModel再检测关键点?
- DMUE pre-trained models
- 请问,我在lfw测试上效果不好?
- File "logging.conf" has a redundant ']' in line 32
- Model weights are trash
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