Quaternion Convolutional Neural Networks: Current Advances and Future Directions
G Altamirano-Gomez, C Gershenson - arXiv preprint arXiv:2307.08663, 2023 - arxiv.org
Since their first applications, Convolutional Neural Networks (CNNs) have solved problems
that have advanced the state-of-the-art in several domains. CNNs represent information …
that have advanced the state-of-the-art in several domains. CNNs represent information …
Document Binarization with Quaternionic Double Discriminator Generative Adversarial Network
Quaternionic networks have emerged as a lightweight alternative to standard neural
networks. We propose using a Quaternionic conditional Generalized Adversarial Network …
networks. We propose using a Quaternionic conditional Generalized Adversarial Network …
[PDF][PDF] Exploring Uses of Normalizing Flows for Document Image Processing: Text Super-Resolution and Binarization
Exploring Uses of Normalizing Flows for Document Image Processing: Text Super-Resolution
and Binarization Page 1 Exploring Uses of Normalizing Flows for Document Image Processing …
and Binarization Page 1 Exploring Uses of Normalizing Flows for Document Image Processing …