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DFL-CNN Part1 : prepare for parameters Begin
DFL-CNN Part1 : prepare for parameters Done
DFL-CNN Part2 : Load Network Begin
Traceback (most recent call last):
File "main.py", line 180, in…
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Hello,
I cloned your repo and downloaded your dataset, but I could not get the same result as yours.
I train the model on 4 GeForce GTX 1080 Ti GPUs, and keep other arguments as the same. But i…
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Hello, thank you very much for sharing the code, why I use your code training only 42%
XZNWU updated
5 years ago
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have reading paper and the source code, i find initialization don't contain none-random initialization part. Does it exist? :-)
And how much accuracy will loss if don't do none-random initialization…
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Hi, thanks for your kind work for implementing the CVPR18 paper DFL-CNN for the community. I notice that your code did not implement the non-random initialization part which the authors claimed it was…
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What are the training hyper parameters to get top1 acc>0.87, like batch, lr strategy? and how many epochs do you run?
I can only get 0.83 on the CUB_200_2001. I divided the data sets to 70% train…
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Hi,I got the problem:"RuntimeError: stack expects each tensor to be equal size, but got [1, 256, 32, 32] at entry 0 and [1, 192, 32, 32] at entry 3", if it can be resolved,I wii be appreciated.
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Hello, when I used pyinstaller to package the training code(torch, cuda, linux), the cuda can not be used on another computer. Is this because cuda wasn't packaged?
The error is
![e647cdbd1dd294f88…
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Hi
Can this implementation reproduce the performance in the original paper?
Thanks!
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