Comments (3)
YyzHarry
commented on June 30, 2024
Hi - I double check the checkpoints, and I can load them correctly. What problem did you experience? Did you follow the provided scripts? For example: https://github.com/YyzHarry/imbalanced-semi-self/blob/master/train.py#L157-L162
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NARRZ
commented on June 30, 2024
Thanks for you apply,but I mean that I can't download the pretrained models of "self" from https://drive.google.com/drive/folders/1VbdqYZ0sqyApM6AdmCgsZd46TsPlQcpT. Files downloaded in "self" folder cannot be unzipped.Please verify it when you are spare.
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YyzHarry
commented on June 30, 2024
I can download and load the checkpoints. FYI, you do not need to unzip the checkpoints; the files are meant to be directly loaded. Check out the PyTorch saving and loading procedure.
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Related Issues (20)
- Where can I setting the CE(Uniform) and CE(Balanced) ? HOT 1
- About the Proof of Theorem1 HOT 3
- How to apply to traditional ML techniques such as lightgbm? HOT 1
- 请教大大一个问题：FileNotFoundError: [Errno 2] No such file or directory: './data/ti_80M_selected.pickle' HOT 1
- Some problems about the assumption in the papaer. HOT 2
- What is the intended learning rate schedule? HOT 1
- Can't achieve the given performance: ResNet-50 + SSP+CE(Uniform) for imageNet-LT HOT 3
- Have you ever tried "Semi-Supervised Imbalanced Learning on ImageNet-LT"? HOT 2
- moco on cifar dataset HOT 1
- command to get a base classifier in semi-supervised learning HOT 1
- 是否有在多分类分割问题上衡量这个方法呢？ HOT 2
- error python pretrain_rot.py --dataset cifar10 --imb_factor 0.01 HOT 4
- How to get the image in the readme HOT 4
- 你好，半监督的伪标签没有经过置信度筛选的吗？ HOT 1
- Questions about self-supervised learning on cifar10 HOT 7
- 训练自己数据集 HOT 5
- Can it be used to solve the unbalanced problem of supervised learning? And How? HOT 3
- What's the required hardware to reproduce the result? HOT 1
- Why use 5 times more unlabeled data? HOT 1
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