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**Problem**
Explore few-shot learning in an image classification, for example, bird species classification
**Considered solutions**
NA
**How can we help**
Be as clear and concise as possible …
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**Describe the bug**
I am running the ex4 script for CUB 200 dataset but I'm getting output that seems to be incorrect. Specifically, all the accuracy Values for each layer are 1.0000. and the over a…
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I'm sorry that I have encountered some problems in use, could you please help me?
When I train the CUB dataset in ubuntu using the following command:
+ CUDA_VISIBLE_DEVICES=2
+ python3 train_cub.…
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Hey,
I'm trying to train a PIPNet on CUB following the `README.md`. I prepared the CUB dataset directory using the code from ProtoTree, which resulted in a `dataset` directory (inside the CUB root …
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Hello,
The [Logging & Visualization](https://open-metric-learning.readthedocs.io/en/latest/oml/logging.html#logging-in-pipelines) guide for Neptune mentions that the `neptune_project` has to be set…
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Hello! I tried to launch training and validation pipeline of CUB dataset. I have 2 questions.
Firstly, I launched training with the following code:
```
import yaml
with open("train_cub.yaml") a…
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Thanks for your excellent work!
When i reproduce the Prototree ensemble 5 result, my accuracy is 83, lower than 87.2 in article. Here is my run command: python main_ensemble.py --epochs 100 --log_dir…
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Hi all, I'm currently exploring builtin datasets with new standards:
https://github.com/pytorch/vision/blob/main/torchvision/prototype/datasets
Let's take [Cifar10](https://github.com/pytorch/vi…
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Hello, thank you for sharing the code. I would like to know how you split the train and test in the data folder and I can't find the concept.txt in the data folder. Thank you!