Comments (4)
rohitgajawada
commented on August 20, 2024
Yeah, even I get similar results
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bfshi
commented on August 20, 2024
me too
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bjlgcxc
commented on August 20, 2024
me too, even up to 75.72% +- 0.66%
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wyharveychen
commented on August 20, 2024
Hello, sorry about my reported the results for CUB dataset on the paper run fewer episodes and thus not fully converged. I have updated the fully converged results on the Arxiv as the follow link https://arxiv.org/abs/1904.04232.
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Related Issues (20)
- Training accuracies are low and their gaps are big when Conv4 backbone is used.
- Question on feature_loader.py:32,33
- The stop_epoch number of maml
- Larger batch size for CUBS.
- Query Regarding Figure 5.
- TypeError: super() argument 1 must be type, not classobj
- assert params.num_classes >= 1597, 'class number need to be larger than max label id in base class' HOT 5
- h
- Training using 'protonet', 'matchingnet', 'relationnet', 'relationnet_softmax', 'maml', 'maml_approx' methods with an unbalanced dataset.
- Baseline++ cross_char accuracy lower than Baseline
- About the lacking of query sample in data_loader and the lacking of target in calculating loss
- h
- CUB dataset's link no longer valid
- Baseline ++ validation wrongly reported in paper?
- What does fid mean in write_miniImagenet_filelist.py ？
- How to fine-tune the Matching Network HOT 1
- errro _pickle.PicklingError HOT 1
- RuntimeError: "nll_loss_forward_reduce_cuda_kernel_2d_index" not implemented for 'Int'
- how to make the experiments repeatable?
- How to get the pre-trained model?
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