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tokenmix's Issues

Dimension inconsistency of the token labels

Hi, I am curious about the problem of dimension inconsistency.
(1) The shape of "score_map" that generated in generate_label.py is [2, 5, H, W], but the dimension of score_maps seems to be [2, H, W, 5] in "score_maps[-1,0,0,5]=target " (line 68 of TokenMix)/relabel/dataset.py )
(2) The dimension of "label_maps_topk" in line 48 of TokenMix/tokenmix.py is [batch_size, 3, H, H, 5], but I cannot find how to transform "score_maps" to "label_maps_topk", and what information is stored in the 0, 1, 2 dimension of "label_maps_topk", respectively.

Inquiry on the experimental results for uniform random TokenMix

The paper briefly mentioned that uniform random TokenMix is ineffective for CNNs but beneficial for Transformers. However, I did not find empirical numbers for these claims. Could you provide the numbers for comparison with CutMix as well as structured random TokenMix?

Not found slurm.conf

I meet trouble when run srun command.
Where can I find slurm.conf?
Appreciate any help!

image

Checkpoints

Hello guys,

I am Bill from ECCV. We had a nice talk about your work during your poster session.

Congrats for one more time :)

I would like to ask whether you could provide us the checkpoints of your pretrained models.

Thanks a lot ;)

neural activation map part,

Very sorry, probably because my code ability is too weak and did not find the code about the neural activation map part, can you tell me how it manifests.
Thank you very much

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