Benchmarking chinese text recognition: Datasets, baselines, and an empirical study
The flourishing blossom of deep learning has witnessed the rapid development of text
recognition in recent years. However, the existing text recognition methods are mainly …
recognition in recent years. However, the existing text recognition methods are mainly …
LISTER: Neighbor decoding for length-insensitive scene text recognition
The diversity in length constitutes a significant characteristic of text. Due to the long-tail
distribution of text lengths, most existing methods for scene text recognition (STR) only work …
distribution of text lengths, most existing methods for scene text recognition (STR) only work …
[HTML][HTML] Deep multiple-instance learning for abnormal cell detection in cervical histopathology images
Cervical cancer is a disease of significant concern affecting women's health worldwide.
Early detection of and treatment at the precancerous stage can help reduce mortality. High …
Early detection of and treatment at the precancerous stage can help reduce mortality. High …
SAN: Structure-Aware Network for Complex and Long-Tailed Chinese Text Recognition
In text recognition, complex glyphs and tail classes have always been factors affecting
model performance. Specifically for Chinese text recognition, the lack of shape-awareness …
model performance. Specifically for Chinese text recognition, the lack of shape-awareness …
[PDF][PDF] Optimization of novelty detection through the use of information entropy
R Vedel - vbn.aau.dk
Modern neural networks can achieve high confidence levels of categorization of well-known
classes. However, they fall short when trying to categorize classes not part of their training …
classes. However, they fall short when trying to categorize classes not part of their training …