Zero-shot Chinese character recognition (ZSCCR) is an important research topic in Chinese
character recognition as it attempts to recognize unseen Chinese characters. As basic …

Existing methods for zero-shot Chinese character recognition usually exploit a single type of
side information such as radicals, glyphs, or strokes to establish a map** with the input …

Despite the growing interest in Chinese character generation, creating a nonexistent
character remains an open challenge. Radical-based Chinese character generation is still a …

With the continuous development of artificial intelligence technology, there have been
attempts to utilize AI in the field of linguistics. In this context, research and development in AI …

Few shot models have started to gain a lot of popularity in the past few years. This is mostly
because these models grant the ability to structure the representation space (classes) using …

Recently, handwritten Chinese character error correction has been greatly improved by
employing encoder–decoder methods to decompose a Chinese character into an …

Abstract Radical-based Zero-shot Chinese character recognition (ZSCCR) has attracted
much attentions in recent years as radicals are common mid-level primitives that can bridge …

Object detection is one of the most important aspects of computer vision, and the use of
CNNs for object detection has yielded substantial results in a variety of fields. However, due …

Chinese has a unique characteristic that each character can be decomposed into a
sequence of radicals. This paper presents a unified framework that can effectively …

Zero-shot learning is a challenging problem in many tasks due to the lack of training
samples of the unseen classes. The radical-based zero-shot Chinese character recognition …