In recent years a vast amount of visual content has been generated and shared from many
fields, such as social media platforms, medical imaging, and robotics. This abundance of …

In recent years visual place recognition (VPR), ie, the problem of recognizing the location of
images, has received considerable attention from multiple research communities, spanning …

In this paper, we propose a new open-source benchmarking framework for Visual Geo-
localization (VG) that allows to build, train, and test a wide range of commonly used …

Salient object detection in optical remote sensing images (RSI-SOD) has recently become a
key area of research, driven by the unique challenges posed by specific imaging conditions …

Visual place recognition is challenging in the urban environment and is usually viewed as a
large scale image retrieval task. The intrinsic challenges in place recognition exist that the …

Due to the more dramatic multi-scale variations and more complicated foregrounds and
backgrounds in optical remote sensing images (RSIs), the salient object detection (SOD) for …

Unsupervised near-duplicate detection has many practical applications ranging from social
media analysis and web-scale retrieval, to digital image forensics. It entails running a …

Salient object detection (SOD), one of the most important applications in the field of
computer vision, aims to extract the most visually appealing regions of scenes. However, the …

Instance image retrieval could greatly benefit from discovering objects in the image dataset.
This not only helps produce more reliable feature representation but also better informs …

Image search can be tackled using deep features from pre-trained Convolutional Neural
Networks (CNN). The feature map from the last convolutional layer of a CNN encodes …