Deep Geometric Moment (DGM) Model

The proposed model consists of three components: 1) Coordinate base computation: uses a 2D coordinate grid as input and generates the bases, 2) Image feature computation: obtains image features through ResNet blocks, and 3) Affine transform estimation: to transform the 2D coordinate grid to enable invariance learning.