Deep learning has been widely applied to high-dimensional hyperspectral image classification and has achieved ... we propose a multi-scale simple attention (MSA) block, which extracts deep semantic ...

Abstract: Resolution of the complex problem of image retrieval for diagram images has yet to be reached. Deep learning methods continue to excel in the fields of object detection and image ...

Deep learning ... can use keywords to guide the robot, with the legged robot using a combination of thermal camera and RGB camera where thermal images were used for ROI extraction based on hotspots, ...

Abstract: We exploit deep learning ... based on joint image representation and propose an automatic modulation classification algorithm to classify the communication signals. The combined ...

Using a combination of aerial photogrammetric images and satellite images, the spatial resolution was downscaled to 2.5 m. Machine and Deep learning classification methods ... happens to be the ...

Proposed in this paper is a Wavelet-based CNN (WCNN) system for brain tumor detection and classification. MRI images, which are the most popular imaging technique for brain tumor scanning, are used in ...

Image classification has become more interesting in the research field due to the development of new and high performing machine learning frameworks. With the advancement of artificial neural networks ...