Comments (2)
jasongief
commented on June 28, 2024
Hi, all the experiments are conducted on one NVIDIA 1080Ti GPU. The training epoch is empirically set to 300. In fact, according to the best performance, the training epoch is around 200 for the fully supervised setting and around 30 for the weakly supervised setting.
The total training process is normally not more than 1 hour.
It seems that we do not set the early stopping, you can refine the codes accordingly. Also if you want to train from scratch, you may make some adjustments as introduced in README.
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catherine-qian
commented on June 28, 2024
Thanks for your answer!
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Related Issues (11)
- data HOT 2
- Some questions about the paper HOT 1
- Train from scratch HOT 3
- The question of result HOT 2
- Why do some Linear layers have bias set to False? HOT 1
- what information is prob_label.h5 generated based on HOT 2
- How to generate attention map? HOT 2
- Why the right_labels.h5 does not contain all the video labels? HOT 1
- weakly_model.py
- 如何在特征提取时获得4143组数据特征而不是4097组 HOT 1
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