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TUM #2
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Both TUM and SFAM are a little complex,it doesn't make sense why this architecture could speed up so fast. Both the hourglass TUM and fully connection attention are not friendly to speed. Wait for the code. |
TUM is a Thinned U-shape Module, it is not as slow as you think. The parameters of A TUM is even less than a Conv layer 1024x3x3x1024. |
i have tried it in darknet ,and where the network get deeper ,then the network will be slower, |
@leo-XUKANG very interesting try. I am also curious why M2DET will have such fast speed. Would you share your code of M2DET in darknet? |
hello, thanks for your paper. In your paper, you have used 8 Tums.I want to ask if this will cause the low fps. After all, there are many Convolution layers.Thanks!
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