Current Scene text image super-resolution approaches primarily focus on extracting robust
features, acquiring text information, and complex training strategies to generate super …

Video-based person re-identification (ReID) is challenging due to the presence of various
interferences in video frames. Recent approaches handle this problem using temporal …

In person re-identification (Re-ID) tasks, using only convolutional neural network (CNNs)
makes it challenging to fully exploit the global key information in person images, while using …

Person re-identification is a technology used to identify individuals across different cameras.
Existing methods involve extracting features from an input image and using a single feature …

Most existing ship re-identification methods are only applicable under sunny days. However,
the presence of fog makes ship re-identification difficult. Therefore, this study proposes a two …

Incurable Alzheimer's disease (AD) plagues many elderly people and families. It is important
to accurately diagnose and predict it at an early stage. However, the existing methods have …

Person re-identification (Re-ID) aims to match a particular person captured by different
cameras, which has great potential in video surveillance. However, Re-ID is still challenging …

Person re-identification aims to match images of the same person in different scenarios. The
challenge of this task is how to extract discriminative features from person images with …

Scene Text Image Super-Resolution (STISR) aims to simultaneously improve the resolution
and legibility of text images, generating images that will significantly impact the performance …

针对因拍摄的行人图像模糊, 遮挡, 姿势, 视角, 颜色, 风格和亮度不同等不良因素的影响,
行人重识别任务难以提取具有判别力的特征, 设计了一种基于IBN-Net 和双池通道注意力模块的 …