Deformable Convolution

Introduced by Dai et al. in Deformable Convolutional Networks

Deformable convolutions add 2D offsets to the regular grid sampling locations in the standard convolution. It enables free form deformation of the sampling grid. The offsets are learned from the preceding feature maps, via additional convolutional layers. Thus, the deformation is conditioned on the input features in a local, dense, and adaptive manner.

Source: Deformable Convolutional Networks


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