Traditional guided image translation methods, based on encoder–decoder or U-Net
structures, often struggle with complex or contrasting images. To address this, we introduce …

We propose a novel model named Multi-Channel Attention Selection Generative Adversarial
Network (SelectionGAN) for guided image-to-image translation, where we translate an input …

Optical character recognition (OCR) methods have been applied to diverse tasks, eg, street
view text recognition and document analysis. Recently, zero-shot OCR has piqued the …

Oracle Bone Inscriptions (OBI) are ancient hieroglyphs originated in China and are
considered one of the most famous writing systems in the world. Up to now, thousands of …

Oracle character recognition-an analysis of ancient Chinese inscriptions found on oracle
bones-has become a pivotal field intersecting archaeology, paleography, and historical …

Computational intelligence (CI) uses applied computational methods for problem-solving
inspired by the behavior of humans and animals. Biological systems are used to construct …

Visual perception evolves over time. This is particularly the case of oracle bone scripts
where visual glyphs seem intuitive to people from distant past prove difficult to be …

The long-tail effect is a common issue that limits the performance of deep learning models
on real-world datasets. Character image datasets are also affected by such unbalanced data …

Current diffusion models excel in computer vision tasks, but stamp removal from documents
remains challenging, especially when stamps are light-colored and blend with text. Existing …

Inscriptions on ancient steles, as carriers of culture, encapsulate the humanistic thoughts
and aesthetic values of our ancestors. However, these relics often deteriorate due to …