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Hi, thanks for great work. I wonder that why did you use CurricularFace instead of Arcface?
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could author add CurricularFace loss to your insightface?
CurricularFace loss: https://github.com/HuangYG123/CurricularFace/blob/master/head/metrics.py
it was occur error to mask = cos_theta > co…
eeric updated
2 years ago
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Hi, Thanks for sharing your source codes.
Based on your experiments, you have used CurricularFace as a FR model to evaluate your method.
I just checked the evaluation code of CurricularFace (https…
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Thanks for your great work! Can you share the code for Qformer combined with CurricularFace and CLIP? I want to see how it is implemented without model weights.
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hello
Evaluation: LFW Acc: 0.9968333333333332, CFP_FP Acc: 0.8959999999999999, AgeDB Acc: 0.9726666666666667
it's my training result as 20 epoch , hyper param as you set .. acc on cfp-fp is …
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On line 104 of train.py, you write "separate batch_norm parameters from others; do not do weight decay for batch_norm parameters to improve the generalizability"https://github.com/HuangYG123/Curricula…
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对于CurricularFace的pretrained,原来的BasicBlockIR我无法加载成功,似乎是有一个算子错位了。我修改后加载成功了。
```python
class BasicBlockIR(Module):
""" BasicBlock for IRNet
"""
def __init__(self, in_channel, depth, s…
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Could you tell me how to prepare the training data and the 'refined_ms1m.txt'? Thanks.
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In MV-softmax, the released code use easy_margin like following:
```
final_gt = torch.where(gt > 0, cos_theta_m, gt)
```
but the official arcface implement does not use easy_margin, like following…
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I have observed that the under either sample rates, the trianing speeds are almost identical. Is changing the config.sample_rate=0.1 really triggering the partial fc operation? or am I missing somethi…