Comments (9)
@dyj1234567890 Not yet, but when applied on my own project, the GhostNet trained with default setting of this code has the best performance among all the backbone I have tried.
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The code is not clean enough. kernel
set in _CONV_DEFS_0 for bottleneck of stride=1 is useless.
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So the kernel size of primary convolution in Ghost module is fixed to [1, 1] by default?
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https://github.com/huawei-noah/ghostnet/blob/4ccf0993cec68a0b04faeea3271a14b453a96d9b/ghost_net.py#L288-L289
https://github.com/huawei-noah/ghostnet/blob/4ccf0993cec68a0b04faeea3271a14b453a96d9b/ghost_net.py#L270-L271
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Yes, the kernel size of primary convolution in Ghost module is fixed to [1, 1] by default.
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Have you tried with larger size?
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Have you tried with larger size?
I have the same question
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@YUHAN666 @dyj1234567890 Not yet.
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@YUHAN666 Have you tried with larger size?
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