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HI! Thanks for sharing the work! I'm wondering if you have compare to the most straightforward baseline of class balanced sampling of training data when train the model?
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@zhmiao After carefully reading the code, I find that the convolutional layers in ResNet152 are freezed during the stage #1’ training which resulting the training no meaning, So pls help to check. tha…
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When I use the Place dataset and implement the command “python3 main.py --config ./config/Places_LT/stage_1.py”，an error is occur, does anyone can help me? Thanks
Traceback (most recent call last):…
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Since both of the spatial and self attention are used in the modulated attention, in
my understanding both of these two parts are used to capture the spatial information, so may you tell me what's t…
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Hello,
When I run python main.py --config ./config/Places_LT/stage_2_meta_embedding.py, there is an error.
File "./models/MetaEmbeddingClassifier.py", line 33, in forward
dist_cur = torch.n…
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Hello, reading carefully your code (for ImageNet-LT), it seems that the plain models was trained in 30 epochs while your own model in 90 epochs (30 stage1 + 60 stage2). Could you please confirm this? …
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I think the vn(meta) in equation(7) is wrong, otherwise, the networks of concept selector, Hallucinator will not be trained
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Thanks for the awesome work.
But I do not find the related codes to update the centroids.
In line 45 of file `run_networks.py` :
```
if self.memory['init_centroids']:
self.criterions['Featu…
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Thank you for releasing the code for this awesome work.
I have a question about the centroids update. I have read the code and find that centroids only calculated once at the beginning of the model i…