Comments (2)
KhrulkovV
commented on September 10, 2024
Hey, try the following
python train_protonet.py --gpu 0 --hyperbolic --dataset MiniImageNet --dim 1024 --lr 0.001 --c 0.05 --gamma 0.2 --step_size 10 --way 30
This sets way to be 30 during training, which helps a lot.
from hyperbolic-image-embeddings.
xionghc
commented on September 10, 2024
That's ok. Thanks.
from hyperbolic-image-embeddings.
Related Issues (14)
- A typo on the main plot and poincare_mean implementation HOT 1
- Code to calculate the hyperbolicity of image datasets HOT 3
- Is it necessary to use Riemannian optimzers?
- Calculating Hyperbolicity bug in delta.py? HOT 1
- mnist example get loss nan HOT 5
- Visualization of the feature embeddings in the hyperbolic space HOT 3
- is it a bug in HyperbolicMLR?
- Reported results and reproduced results HOT 12
- Poincare distance to origin HOT 3
- Hyperbolic CNN HOT 2
- Reproducing Results
- could you release the code for reid๏ผ
- The values of '_mobius_add(-x, y, c).norm(dim=-1, p=2, keepdim=keepdim)' are ones HOT 2
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