In the early days, content-based image retrieval (CBIR) was studied with global features.
Since 2003, image retrieval based on local descriptors (de facto SIFT) has been extensively …

This paper contributes a new high quality dataset for person re-identification, named" Market-1501".
Generally, current datasets: 1) are limited in scale; 2) consist of hand-drawn bboxes, …

Lithium-ion batteries (LIBs) have attracted increasing attention for electrical energy storage
applications in recent years due to their excellent electrochemical performance. The …

The Asia-Pacific region is home to more than half of the global population and accounted
for 62·6% of global deaths due to liver diseases in 2015. 54·3% of global deaths due to …

The explosive increase and ubiquitous accessibility of visual data on the Web have led to
the prosperity of research activity in image search or retrieval. With the ignorance of visual …

Feature detection is a fundamental and important problem in computer vision and image
processing. It is a low-level processing step which serves as the essential part for computer …

In object detection, keypoint-based approaches often experience the drawback of a large
number of incorrect object bounding boxes, arguably due to the lack of an additional …

In the past few years, convolutional neural networks (CNNs) have achieved milestones in
medical image analysis. In particular, deep neural networks based on U-shaped architecture …

Deploying convolutional neural networks (CNNs) on embedded devices is difficult due to
the limited memory and computation resources. The redundancy in feature maps is an …

Employing part-level features offers fine-grained information for pedestrian image description.
A prerequisite of part discovery is that each part should be well located. Instead of using …