The computation of electron repulsion integrals (ERIs) over Gaussian-typ...
Visual re-localization aims to recover camera poses in a known environme...
Infrared small target detection (ISTD) has attracted widespread attentio...
The recent development of imaging and sequencing technologies enables
sy...
Convolutional Neural Networks (CNN) are more suitable, indeed. However, ...
We mainly focus on the effects of small changes of parameters on the dyn...
Many force-gradient explicit symplectic integration algorithms have been...
In this work, deep learning algorithms are used to classify fundus image...
Despite learning-based visual odometry (VO) has shown impressive results...
Developers usually select different open source licenses to restrain the...
In recent years, hyperspectral imaging, also known as imaging spectrosco...
Vehicle detection in remote sensing images has attracted increasing inte...
Up to the present, an enormous number of advanced techniques have been
d...
A recent trend observed in traditionally challenging fields such as comp...
Automatic species classification in camera traps would greatly help the
...
Geospatial object detection of remote sensing imagery has been attractin...
This is a method report for the Kaggle data competition 'Predict future
...
With the rapid development of spaceborne imaging techniques, object dete...