I summarized from some other web pages:

Pros: Deep network because the output dimension could be constant after convolution

 Saving image border information

Cons:

 Waste of computational resources

I summarized from some other web pages:

Pros: Deep network would be possible because the output dimension could be constant after convolution
     Example: Saving image border information

Cons: Heavy computation
     Example: Waste of computational resources

I summered from other web page

Pros:

  Deep network because the output dimension could be constant after convolution

Saving image border information

Cons:

Waste of computational resource

I summarized from some other web pages:

Pros: Deep network because the output dimension could be constant after convolution

Saving image border information

Cons:

Waste of computational resources