In recent years, attention-based scene text recognition methods have bee...
The goal of a recommendation system is to model the relevance between ea...
Arbitrary shape text detection is a challenging task due to its complexi...
The open-set text recognition task is an emerging challenge that require...
Recently, researchers have shown an increased interest in the online
kno...
Segmentation-based methods have achieved great success for arbitrary sha...
Scene text recognition is a popular topic and can benefit various tasks....
Compared with the traditional collaborative filtering methods, the graph...
Learning a common latent embedding by aligning the latent spaces of
cros...
Considering the models that apply the contextual information of time-ser...
Arbitrary shape text detection is a challenging task due to the high
com...
Land use as contained in geospatial databases constitutes an essential i...
License plate detection is the first and essential step of the license p...
Text-based visual question answering (VQA) requires to read and understa...
Feature descriptor matching is a critical step is many computer vision
a...
Arbitrary shape text detection is a challenging task due to the high var...
Use-After-Free vulnerabilities, allowing the attacker to access unintend...
Memory spatial error, i.e., buffer overflow, has been a well-known issue...
Fine-grained recognition, e.g., vehicle identification or bird
classific...
With rapidly increasing deployment of surveillance cameras, the reliable...
Recognizing text in the wild is a really challenging task because of com...
Classifier ensemble generally should combine diverse component classifie...