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Hi,
Could you please provide weights for classifier used in these folders (imagenet-cls and cub200-cls)
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I think I found a potential crippling bug.
During training, in my custom loss function, I print this:
```
def compute_loss(self, embeddings, labels, indices_tuple):
uniq_labels = sorted(np.arr…
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Before splitting the TaskSet into multiple classes, we should do a PR where the dataset's type is an enum instead of str.
It will avoid us some bugs if we do typos (as we already encountered in CUB…
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Thanks for making this project, It's convenient for me to implement RACNN in PyTorch.😄
However, When I load a trained model, I found the error below:
```
(pytorch) root@server:~/RACNN-PYTORCH_orc…
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Hello,
I wanted to run several experiments on your benchmarking system, but unfortunately, the test run doesn't work.
(python3 run.py --experiment_name test1 --dataset {CUB200: {download: True}}…
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I modified 'generate_box_imagenet.py' to 'generate_box_cub200.py'. However, I got the accuracy of GT known Loc is 88.5% which is much higher than paper claimed 84.55% in Tab.1. Cloud you please give s…
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Hi, Thank you for making your code public!
I have a question about the pre-trained model specifically one with CUB200 dataset. Whether the model you are sharing 'session0_max_acc7552_cos.pth' is the …
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Hello Kevin
I really appreciate your work in metric learning from pytorch-metric learning to reality check.
While using this benchmarker, I was able to easily use the datasets and losses provided.
…