NAM

[Ronky123]

Dear Author: Could you send the complete NAM code to me?Thanks a lot!

[qq274983722]

Dear Authors:： I also need your code to compare the experimental results. My email address is [email protected] .Thank you!

[fengzhenfeng]

Dear Authors: Could you give me your complete NAM module. My email [email protected] Thanks!

[huahuabai]

Dear Authors: Could you give me your complete NAM module. My email [email protected] Thanks!

[beam-fly]

Dear Authors: Could you give me your complete NAM module? My email [[email protected]]Thanks!

[xxxjjjx]

Dear Authors: Could you give me your complete NAM module? My email [[[email protected]]Thanks!

[Azhihong]

Could you send me your complete NAM code. My email [[email protected]] Thanks a lot!

[xiaobaitubaibaibai]

Could you send me your complete NAM code. My email [[[email protected]]] Thank you!

[QandB79]

Dear Authors: Your work has inspired me a lot！ Could you give me your complete NAM module. My email [[email protected]] Thanks a lot!

[kk130629]

您好 ，可以把MobileNetV2这块代码给我一份吗？我想做对比试验 我的邮箱 [email protected] 谢谢

[shell-filter]

Dear Authors: Could you give me your complete NAM code. Thanks you very much! My email [[email protected]]

[yangyahu-1994]

Dear Authors: Could you give me your complete NAM code. Thanks you very much! My email [[email protected]]

[zhouwy-lv]

Dear Authors: Could you give me the part of MobilenetV2 combined with attention? Thank you very much! My email [[email protected]]

[tuziqq]

Dear Authors: Could you give me your complete NAM code. Thanks you very much! My email [[[email protected]]

[xiaobai111111223]

Dear Authors: Could you give me your complete NAM code. Thanks you very much! My email [[email protected]]

[Nisawan]

Dear Authors: Could you give me your complete NAM code. Thank you very much! My email [[email protected]]

[Gchang9]

Dear Authors:： I also need your code to compare the experimental results. Thank you very much!My email address is [[email protected]]

[xiaobaitubaibaibai]

不好意思，并没有代码

------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2022年9月14日(星期三) 晚上8:18 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [Christian-lyc/NAM] NAM (Issue #3)

Dear Authors:： I also need your code to compare the experimental results. Thank you very much!My email address is @.***

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.***>

[CesareDavidePace]

Dear Authors: Could you give me your complete NAM code. Thank you very much! My email [email protected]

[lucky-asia]

Dear Authors: Could you give me your complete NAM module. My email [[email protected]] Thanks!

[23jisuper]

作者 您好！关于空间注意力模块能够提供一下源代码吗 ？ 非常感谢，[email protected]

[lucky-asia]

import torch from torch import nn

class wca(nn.Module):

def __init__(self, channel, k_size=3):
    super(wca, self).__init__()
    self.avg_pool = nn.AdaptiveAvgPool2d(1)
    self.conv = nn.Conv1d(1, 1, kernel_size=k_size, padding=(k_size - 1) // 2, bias=False)
    self.bn2 = nn.BatchNorm2d(channel)
    self.sigmoid = nn.Sigmoid()

def forward(self, x):

    y = self.avg_pool(x)
    y = self.bn2(y)
    weight = self.bn2.weight.data.abs()
    weights = 0.01 * weight
    y = torch.mul(weights, x)
    y = self.sigmoid(y)

    return x * y.expand_as(x)

------------------ 原始邮件 ------------------ 发件人: "Christian-lyc/NAM" @.>; 发送时间: 2023年12月4日(星期一) 晚上6:53 @.>; @.@.>; 主题: Re: [Christian-lyc/NAM] NAM (Issue #3)

作者 您好！关于通道注意力模块能够提供一下源代码吗 ？ @.***

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.***>