Comments (3)
andreirusu
commented on June 2, 2024
We have added as much information as we could think of to the appendix. There are many good codebases out there for training WRN and similar models, and we encourage you to try that out. We have largely followed the methodology from Qiao et. al, and their code is online, although it also required some modifications to reproduce exactly their setup. Please have a look: https://github.com/joe-siyuan-qiao/FewShot-CVPR
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ZhenLiuBuaa
commented on June 2, 2024
Hi, Can you share the code and hyperparameters used for getting the pre-trained image embeddings (that you have released as zip)?
hello，have you found open source WRCN 28-10 model?
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nupurkmr9
commented on June 2, 2024
Yeah, We were able to replicate the results using the information given in the appendix of the paper. Thanks a lot.
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Related Issues (16)
- How to test model? HOT 1
- Wrong instruction when running python runner.py -- --data_path=$EMBEDDINGS HOT 1
- Incompatibility with Python 3 HOT 2
- ModuleNotFoundError: No module name 'tensorflow_probability' HOT 2
- 'LEO' object has no attribute 'trainable_variables' HOT 1
- EMBEDDINGS Proper export HOT 2
- Train/val/test split mismatch HOT 3
- Test and accuracy problem HOT 3
- So many WARNINGS while running HOT 1
- Where is the 'outer loop' mentioned in the paper? HOT 1
- Killed! HOT 1
- Questions on implementation HOT 1
- Can't reproduce the results reported in the paper HOT 2
- meta dataset used in training
- Leo
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