Hayabusa 2's primary mission is now well in the past. JAXA's asteroid-sampling spacecraft rendezvoused with asteroid Ryugu in ...

A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ...

Abstract: Detection of small objects and objects far away in the scene is a major challenge in surveillance applications. Such objects are represented by small number of pixels in the image and lack ...

Python dominates computer vision with its vast array of open-source libraries and active community support. These tools handle key tasks, such as image detection, segmentation, and feature extraction.

This is the implementation of CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'. The aim is to improve the cross-domain robustness of object detection, in the screnario ...

What is pre-trained Model? A pre-trained model is a model created by some one else to solve a similar problem. Instead of building a model from scratch to solve a similar problem, we can use the model ...

Abstract: Accurately detecting building changes based on high-resolution remote sensing imagery remains technically challenging owing to positional inconsistencies and geometric distortions. To ...

Visual surveys by autonomous underwater vehicles (AUVs) and other underwater platforms provide a valuable method for analysing and understanding the benthic environment. Scientists can measure the ...