With the emergence of digital pathology, searching for similar images in large archives has
gained considerable attention. Image retrieval can provide pathologists with unprecedented …

With the rapid development of multimedia techniques, mobile Internet and cloud computing,
large-scale image retrieval service has become a necessity in our daily life. To overcome the …

Abstract Information retrieval (IR) defines the process of searching and attaining specific
information resources which are related to the specific information requirements from the …

In the large-scale image retrieval task, the two most important requirements are the
discriminability of image representations and the efficiency in computation and storage of …

Representing images by compact hash codes is an attractive approach for large-scale
content-based image retrieval. In most state-of-the-art hashing-based image retrieval …

摘要随着图像数据的爆炸性增长, 基于内容的图像检索引起了大量的关注.
图像检索系统的性能很大程度上是由描述符决定的. 有很多传统的描述符先后被提出 …

Content-based image classification and retrieval are the automatic processes of taking an
unseen image input and extracting its features representing the input image. Then, for the …

Convolutional neural networks (CNNs) have emerged as powerful tools for image retrieval
and classification. In this paper, we study binary embedding of CNN-based image …

Snapshot-based visual localization is an important problem in several computer vision and
robotics applications such as Simultaneous Localization And Mapping (SLAM). To achieve …