Hello,
I have a question about RCF-ResNet. As you said in a post: " For ResNet, we use all the 3x3 conv layers, excluding the 1x1 conv layers. We also change the stride of "conv1" layer from 2 to 1". I try to do that with ResNet50 and ResNet101, but it does not work (the final result is always 0.5). It seems that the weights from 3x3 conv layers are almost zero. I think when I load the pretrained model of ResNet, the residual mappings are already optimized to zero. That's why the weights cannot be changed. I also try to use the last layers (1x1 conv) from each stage in ResNet. It works but the contour quality is not good as RCF-VGG16.
Can you share me how to implement RCF with ResNet (structures, hyperparameters ...) , please?
Thank you very much.
Hello,
I have a question about RCF-ResNet. As you said in a post: " For ResNet, we use all the 3x3 conv layers, excluding the 1x1 conv layers. We also change the stride of "conv1" layer from 2 to 1". I try to do that with ResNet50 and ResNet101, but it does not work (the final result is always 0.5). It seems that the weights from 3x3 conv layers are almost zero. I think when I load the pretrained model of ResNet, the residual mappings are already optimized to zero. That's why the weights cannot be changed. I also try to use the last layers (1x1 conv) from each stage in ResNet. It works but the contour quality is not good as RCF-VGG16.
Can you share me how to implement RCF with ResNet (structures, hyperparameters ...) , please?
Thank you very much.