This repo has almost 300 stars but does *NOT* have residual connections

[MatthewBM]

Author wrote:

def forward(self, x):
    return self.conv_block(x) + self.conv_skip(x)

Which will function like a grouped convolution. A skip would be:

def forward(self, x):
    return self.conv_block(x) + x

[true-zk]

That's not the same as the original implementation.
But still not

def forward(self, x):
    return self.conv_block(x) + x

author add a down sample use "strides"
see this:

Cite from: https://github.com/DebeshJha/ResUNetPlusPlus/blob/master/m_resunet.py

but I guess add a conv layer is ok
though I have not try which is better...

[MatthewBM]

You cannot add a convolution to x_init and still call it a residual connection.

Here is a code example for the Pytorch Implementation of the original Resnet Paper:
result = self.model.forward(x) + x

It needs to be x = Add()([x, x_init])

This repo now has 425 stars and is still wrong...