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Self-Supervised Learning tutorial fails in contrastive_model training with
File "C:\Users\lone_\AppData\Local\Continuum\anaconda3\envs\tf28-gpu\lib\site-packages\keras\engine\training.py", line…
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Hi authors, thanks for your wonderful work!
I have some questions regarding the projection head in MoCo/Exemplar. Have you experimented with the pre-trained MoCo/Exemplar with and without a nonline…
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File "/data2/cnu_lxy001/ENLCA-master/src/trainer.py", line 49, in train
sr, comparative_loss = self.model(lr, 0)
ValueError: too many values to unpack (expected 2)
I also read this code :
http…
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## ❓ Questions and Help
### Before asking:
1. search the issues. Already. Tested some solutions from other issues but don't work.
#### What is your question?
I tried some advice from #3718 a…
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I keep running into this error and can't figure out what is going wrong. I'm attempting to run the train_cnndm_single_neg.sh script on the given data. I have not made any changes to the batch script e…
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Hi, I have a question regarding the use of muP in contrastive losses: Assume we have anchor embedding x, positive embedding x_pos, and negative embedding x_neg. All x, x_pos, and x_neg are C-dim vecto…
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- What Does PE learn https://arxiv.org/pdf/2010.04903.pdf
- [ ] **BeiT :** https://arxiv.org/abs/2106.08254
- [ ] **Masked Autoencoders Are Scalable Vision Learners :** https://arxiv.org/abs/2111.0…
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Hello, When I used my own data set to fine-tune the model, I got the following error.
` File "downstream_train_modify2.py", line 97, in
trainer.fit(model_sem_kitti)
File "/home/segcont…
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hello,看完你们的文章后。我有几个问题想请教一下:
- fig3 LARS和SGD train出来的模型,分布不同,但是CKA分数却相同。并且normrescale之后CKA相似性反而下降了。怎么解释CKA相似性与结论相冲突呢?
- table 3 normrescale之后的模型比SGD原生train出来的模型在COCO上效果还要更好。怎么理解这种现象?
- 最后在asymmetric…
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That is pretty strange to implement …