Image classification and object detection techniques are important methods when it comes to working on the domain of computer vision. These techniques help machines understand and identify real-time ...

Abstract. Deep learning-based hyperspectral image (HSI) classification and object detection techniques have gained significant attention due to their vital role in image content analysis, ...

Abstract: This Object detection and classification using Hyperspectral images is a critical aspect of remote sensing and computer vision. This technology involves identifying objects of interest ...

In this paper, the application of image processing and machine learning in object recognition is studied. Firstly, a calculation method based on color, size and leaf area ratio is proposed. Through ...

The new solution speeds the deep-learning object-detection system by as many as 100 times, yet has outstanding accuracy. The advance is outlined in Spatial Pyramid Pooling in Deep Convolutional ...

Image-free sensing methods based on single-pixel detectors can cut down on the computational power needed for object detection. Instead of employing a pixelated detector such as a CMOS or CCD ...

The goal is to develop a sketch-enabled object detection framework that detects objects based on the content of the sketch, allowing users to express themselves visually. For instance, when a person ...

Teaching machine learning tools to detect specific objects in a specific image and discount others is a 'game-changer' that could lead to advancements in cancer detection, according to researchers.