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 …

Recent works in deep-learning have shown that second-order information is beneficial in
many computer-vision tasks. Second-order information can be enforced both in the spatial …

In this paper, we explore how three related tasks, namely keypoint detection, description,
and image retrieval can be jointly tackled using a single unified framework, which is trained …

The rapid proliferation of digital content and the ever-growing need for precise object
recognition and segmentation have driven the advancement of cutting-edge techniques in …

Global single-pass methods have shown superior efficiency over local aggregation methods
on content-based image retrieval. However, they tend to fail under challenging …

There has been significant progress in content-based image retrieval with the development
of convolutional neural networks and visual transformers. However, there are semantic gaps …

In recent years, the expansion of the Internet has brought an explosion of visual information,
including social media, medical photographs, and digital history. This massive amount of …