Infrared small target detection (IRSTD) is challenging due to low target-background contrast and small target size, leading to missed detections and false alarms (Fas). To address these problems, a ...

By combining artificial intelligence with automated robotics and synthetic biology, researchers have dramatically improved ...

To mine the spectral-spatial information of target pixel in hyperspectral image classification (HSIC), convolutional neural network (CNN)-based models widely adopt patch-based input pattern, where a ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Figure 1 The overall flow of image processing, self-supervised contrastive learning, and multi-task prediction. (Top) During the image processing stage, we extracted the tumor regions from the ...

In this article, we presented SISH, a new approach dealing with whole-slide images via self-supervised deep learning. As opposed to a continuous vector representation, SISH uses a set-based ...

Additionally, Lsim represents the similarity loss between the warped image M ∘ ϕ and the fixed image F, and the smoothness constraint Lsmooth is utilized to prevent the over-distortion of the area and ...

This tutorial shows you how to vectorize an image using Illustrator. Many of us just view all images as the same, nothing particularly different. Until we are working with images in a project and ...

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