The Transformer has been applied into computer vision to explore long-range
dependencies with multi-head self-attention strategy, therefore numerous Transformer …

This research proposes constructing a network used for person re-identification called
MGNACP (Multiple Granularity Network with Attention Mechanisms and Combination …

The performance of person reidentification (ReID) has been significantly improved with the
development of convolutional neural networks in the past few years. Most existing ReID …

Multi-task learning (MTL) obtains a better classifier than single-task learning (STL) by
sharing information between tasks within the multi-task models. Most existing multi-task …

Deep learning has revolutionized the field of computer vision and image processing. Its
ability to extract the compact image representation has taken the person re-identification (re …

Video surveillance is ubiquitous. In addition to understanding various scene objects,
extracting human visual attributes from the scene has attracted tremendous traction over the …

Video surveillance applications have made great strides in making the world a safer place.
Extracting visual attributes from a scene, such as the type of shoes, the type of clothing …

In person re-identification (re-id), the key to retrieving the correct person image is to extract
discriminative features. The features at different levels are considered complementary. In …

This paper presents a multi‐information flow convolutional neural network (MiF‐CNN) model
for person reidentification (re‐id). It contains several specific multilayer convolutional …

Person re-identification (ReID), as a sub-direction of computer vision, has attracted more
and more attention. In recent years, we have witnessed significant progress of person ReID …