Kobe University's development records 3D images of moving objects and obtains images outside the visible spectrum with a ...

Hyperspectral imaging (HSI), or imaging spectroscopy, captures detailed information across the electromagnetic spectrum by ...

CNNs have revolutionized image recognition, achieving high accuracy in tasks like object detection ... tools for interpreting visual data across diverse industries. As deep learning continues to ...

ABSTRACT: One of the most basic and difficult areas of computer vision and image understanding applications is still object detection. Deep neural network models ... that prioritizes flexible learning ...

Abstract: Object detection in aerial images based on deep ... on active learning for aerial image object detection. Therefore, this letter proposes a novel active learning method, using global-margin ...

Object Detection is the task ... exceptionally well on real time data, and is the setting new performance benchmarks for image classification, and instance segmentation tasks. It is possible to use ...

Towards automated inspection, recent deep learning ... methods rely on image synthesis for training data generation. However, these methods randomly combine foreground and background images, ...

Now it reaches out to the artificial technology, to apply learning algorithms on the pcd image to ... signal sampling technique. Then, the sampled signal data are transformed by using the Min-max ...