Dynamic-convolution-Pytorch
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Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)
Dynamic conv3d中好像没有对卷积核参数做初始化,请问这是为什么呢?这样会有什么影响吗?
加入动态卷积之后,shape就变了,原来的ResNet预训练模型就不能用了,请问大佬有动态卷积的ResNet50预训练模型吗?
你好,请问我将动态卷积加入resnet,预训练模型不匹配,应该如何加载预训练权重的问题呀
My image size is 112,112 and I got the below error. Any solution? Line number `ConvLayers/dynamic_conv.py", line 176, in forward` ``` _x = x.view(1, -1, height, width)# 变化成一个维度进行组卷积 RuntimeError: view...
如题,尝试了很多种方式都不支持动态权重,您有什么好的建议吗?
很感谢你的分享,但是我在调试过程中发现当输入为(128,1,20,30,30)这个tensor的通道为1时,代码会报错, File "D:\anaconda3\envs\py38\lib\site-packages\torch\nn\modules\conv.py", line 557, in __init__ super(Conv3d, self).__init__( File "D:\anaconda3\envs\py38\lib\site-packages\torch\nn\modules\conv.py", line 83, in __init__ self.reset_parameters() File "D:\anaconda3\envs\py38\lib\site-packages\torch\nn\modules\conv.py", line 86, in reset_parameters init.kaiming_uniform_(self.weight, a=math.sqrt(5)) File "D:\anaconda3\envs\py38\lib\site-packages\torch\nn\init.py", line 381, in kaiming_uniform_...
I don't observe any accuracy boost for dy_resnet18 compared to raw_resnet18 model on CIFAR10 and CIFAR100 datasets. I used default hyper-parameters for the training and observed. CIFAR10: dy 86.01%, raw...