ddfnet

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对于spatial和channel滤波器：

1

对于spatial和channel滤波器是像素相乘完在与特征图谱做卷积乘法，还是通道滤波器先与输入特征图谱先完成卷积乘法，然后在与spatial滤波器相乘

zouxuelian

Question about the combination mode

1

Thank you for the open-source code. When using the module 'DDFPack', what is the difference between the 'add' and 'mul' combination mode?

bowenzhao-zju

Also questions about the kernel size

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The kernel size can not be larger than 13x13? I set the kernel size to 15x15 and encounter the error "CUDA error: an illegal memory access was encountered". But everything...

ydhongHIT

Questions about the kernel size

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Thank you for the open-source code. In your code, the kernel of ddf is set to square (i.e. 3x3), if I want to set the kernel to a normal rectangle...

dangf15

Issue about the training process

4

Thanks for your excellent work and I met some problems when I train your model following your instruction. 1. You claimed in your paper that you were using batch size...

melohux

Channel size

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DDFPack and DDFUpPack currently assume that the in_channels and out_channels are the same. Can you make short changes to the modules to allow them to work for different in_channels and...

vkothapally

Attribute scale_factor in DDFUnPack not found

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Looks like DDFUnPack is incomplete. Would you please also release the DDF-Up-Net example codes? Thanks,

MaltoseMai

ImportError: cannot import name 'ddf_mul_ext'

3

Hello，I met this question，can you help me? python grad_check.py Traceback (most recent call last): File "grad_check.py", line 8, in from ddf import ddf File "/media/omnisky/34B22D6336AC1687/JSS/ddfnet-main/ddf/__init__.py", line 1, in from .ddf...

jia-604

basic query

3

from . import ddf_mul_ext, ddf_mul_faster_ext, ddf_add_ext, ddf_add_faster_ext Can anyone please help me to know what does this dot after from word in the above line indicates (. ) means in...

nanmehta

basic doubt

2

sir, can you please let me know, why have you use backward compatible code also in the implementation. I am talking about the class defined below.. @staticmethod def backward(ctx, grad_output):...

nanmehta