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Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments

Deep networks for image classification often rely more on texture information than object shape. This paper presents a deep-learning model inspired by geometric moments, a classically well understood approach to measure shape-related properties.

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Cite this as

Rajhans Singh, Pavan Turaga, Ankita Shukla (2024). Dataset: Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments. https://doi.org/10.57702/35xxfuij

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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