Object counting, whose aim is to estimate the number of objects from a given image, is an
important and challenging computation task. Significant efforts have been devoted to …

Estimating accurate number of interested objects from a given image is a challenging yet
important task. Significant efforts have been made to address this problem and achieve …

Object counting, which aims to count the accurate number of object instances in images, has
been attracting more and more attention. However, challenges such as large-scale variation …

In recent decades, remote sensing object counting has attracted increasing attention from
academia and industry due to its potential benefits in urban traffic, public safety, and road …

Object counting is a fundamental task in remote sensing analysis. Nevertheless, it has been
barely studied compared with object counting in natural images due to the challenging …

Remote sensing object counting is an important issue in remote sensing analysis. Remote
sensing object counting has many challenges, such as large-scale variations and complex …

IoT has been overwhelmingly empowered by the rapid development of big-data ecosystems,
such as remote sensing technology which runs all the time in obtaining accurate and high …

Previous work generally believes that improving the spatial invariance of convolutional
networks is the key to object counting. However, after verifying several mainstream counting …

Growing numbers of crowd density estimation methods have been developed in scene
monitoring, crowd safety and on-site management scheduling. We proposed a method for …

Visual counting, a task that predicts the number of objects from an image/video, is an open-
set problem by nature, ie, the number of population can vary in [0,+[?]) in theory. However …