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CurricularFace(CVPR2020)

Results 28 CurricularFace issues
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As you said, if I evaluate the model , please first download the val data in https://github.com/ZhaoJ9014/face.evoLVe.PyTorch. But, which dataset should I download? Thanks.

Hi Huang, I really liked your new Curricular face paper especially the idea of automatic curriculum learning. I tried replicating your results on IJB-C dataset using the IR_101 pretrained model...

torch1.2 run 'train.sh',when loss.backforward. raise error like this: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [2, 5]], which is output 0...

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/CurricularFace/blob/8b2f47318117995aa05490c05b455b113489917e/train.py#L104 Is this the conclusion you got...

when i run it says the size does not match: The code cos_theta = torch.mm(embbedings, kernel_norm) should : cos_theta = torch.mm(embbedings, kernel_norm.t()) but why when i test the model in...

In output_layer ,BatchNorm1d is used. why BatchNorm1d with affine=False? thank you!

Bumps [tqdm](https://github.com/tqdm/tqdm) from 4.32.2 to 4.66.3. Release notes Sourced from tqdm's releases. tqdm v4.66.3 stable cli: eval safety (fixes CVE-2024-34062, GHSA-g7vv-2v7x-gj9p) tqdm v4.66.2 stable pandas: add DataFrame.progress_map (#1549) notebook: fix...

dependencies

Bumps [torch](https://github.com/pytorch/pytorch) from 1.1.0 to 2.2.0. Release notes Sourced from torch's releases. PyTorch 2.2: FlashAttention-v2, AOTInductor PyTorch 2.2 Release Notes Highlights Backwards Incompatible Changes Deprecations New Features Improvements Bug fixes...

dependencies