The content based image retrieval aims to find the similar images from a large scale dataset
against a query image. Generally, the similarity between the representative features of the …

Unsupervised hashing is an important approach for large-scale content-based remote
sensing (RS) image retrieval. Existing unsupervised hashing methods usually utilize data …

Deep supervised hashing has emerged as an influential solution to large-scale semantic
image retrieval problems in computer vision. In the light of recent progress, image label is …

Abstract Visual Place Recognition (VPR) is important for ensuring the accuracy and
reliability of re-localization in a Visual Simultaneous Localization and Mapping (VSLAM) …

Visual place recognition is a fundamental component in autonomous systems and robotics,
which is easily limited in the real world with different viewpoints and changes in appearance …

Identifying the target object in an image can produce more accurate and discriminative
feature representations, which can significantly improve large-scale instance-level image …

In multi-view 3D object retrieval tasks, it is pivotal to aggregate visual features extracted from
multiple view images to generate a discriminative representation for a 3D object. The …

Significant progress has been made in instance image retrieval based on deep feature
aggregation. However, existing approaches are limited by two issues: 1) The inability of …

In recent years, learning-based image hashing techniques have elicited wide interest
among researchers because they can be applied in high-dimensional data such as videos …

Single image super-resolution is very important as a low-level computer vision task. With the
development of deep convolution neural networks (CNNs), recent approaches with CNNs …