Comments (3)
hitspring2015
commented on May 13, 2024
DDL is one of our most effective methods, but it may be more sensitive to parameters, you can try to change some hyperparameters
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luameows
commented on May 13, 2024
I have tried another way by using memory-bank based method, and add few masked-faces. After finetune with curricular-face, the accuracy got better than ddl or without memory-bank.
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John1231983
commented on May 13, 2024
@luameows could you answer my question ? #30
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Related Issues (20)
- The use of landmark HOT 2
- How make it converge to a very low loss?
- ekd's result is satisfactory
- del
- 为了训练人脸识别模型，准备数据时img2tfrecord.py需要5p file，可以提供一个工具生成5p file吗？ HOT 1
- 执行generate_pseudo_labels/gen_pseudo_labels.py到了GENERATE NEGATIVE PAIRS时，没有任何进展一直显示0% HOT 1
- quality/generate_pseudo_labels/gen_pseudo_labels.py中用到的数据集/data/home/fuzhaoou/Dataset/MS1M/MS1M_arcface_112，可以给一个下载地址吗？ HOT 1
- The two papers have inconsistencies in their explanations of DC
- M3DFEL model checkpoints for inference
- ANRL代码问题咨询
- 请问是否有支持224尺寸输入的人脸识别预训练模型？
- M3DFEL的FLOPs
- Problems with STIL test results HOT 2
- Root to Privacy-Preserving Face Recognition Using Random Frequency Components HOT 2
- STIL how to train on the other datasets. HOT 1
- 为什么四种伪造方法训练结果一样？
- TypeError: expected Tensor as element 2 in argument 0,but got NoneType
- hello，ckpt_path，Is it not provided?
- please offer the .pkl file of STIL
- M3DFEL论文结果无法复现
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