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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.

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Cite this as

Rajhans Singh, Pavan Turaga, Ankita Shukla (2024). Dataset: Deep Geometric Moment (DGM) Model. https://doi.org/10.57702/kptf2pm1

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Author	Rajhans Singh
More Authors	Pavan Turaga Ankita Shukla
Homepage	https://arxiv.org/abs/2006.11117