Is ordinary convolution（with bias=0 and no use BN） and partial convolution the same? about partialconv

[liuguilin1225]

In that case, the mask updating will matter. Partial conv will track how the mask evolves when you apply a sequence of partial conv layers.
Usually if you apply an ordinary conv layer without bias, you will follow a BN layer; such BN layer will add transformation onto your whole feature map (including non-holes, filled holes and un-filled holes). A corresponding mask will help you identify which regions are still holes and set them to be 0 again before feeding into next layer. But if you don't track the mask, the un-filled holes are now filled with the transformation from BN, which might confuse the network.

[liuguilin1225]

BTW, for the question regarding to no BN, if one only uses conv layers without bias and no BN etc, the network can't learn anything beyond multiplication.