Class-agnostic Object Detection performance of MViTs in comparison with bottom-up approaches and uni-modal detectors on five natural image OD datasets. MViTs show consistently good results on all ...

Object-oriented convolutional neural network (CNN) has been proven to be an effective classification method for very fine spatial resolution remotely sensed imagery. It can obtain higher accuracy and ...

This second edition of this very accessible book has been updated to provide a practical introduction to the design of object-oriented programs using UML. It includes detailed coverage of modelling ...

Currently, reliable and accurate object detection in high-resolution remote sensing images still faces significant challenges, such as color, aspect ratio, complex background, and scale variations.

True Object-Oriented Java Web Framework without NULLs, Static Methods, Annotations, and Mutable Objects ...