This survey article is concerned with the emergence of vision augmentation AI tools for
enhancing the situational awareness of first responders (FRs) in rescue operations. More …

Removing raindrops adhering to lenses or glass is challenging since raindrops have more
complex internal structures and optical effects than rain streaks. Existing raindrop removal …

Image steganalysis aims to detect secret messages embedded in digital images. Nowadays,
deep learning-based image steganalysis methods have achieved promising detection …

Various vision-based tasks suffer from inaccurate navigation and poor performance due to
inevitable problems, such as adverse weather conditions like haze, fog, rain, snow, and …

There are inevitable multiphase flow problems in the process of subsea oil-gas acquisition
and transportation, of which the two-phase flow involving gas and liquid is given much …

摘要光学相干层析成像(OCT) 的质量通常会受到固有散斑噪声和低采样率的影响.
为了在短扫描时间内获得高信噪比和高分辨率的OCT 图像, 本文提出了一种改进的OCT …

A Hybrid CNN-Transformer Architecture with Frequency Domain Contrastive Learning for
Image Deraining Page 1 A Hybrid CNN-Transformer Architecture with Frequency Domain …

Aiming at complex operation problems, low precision and poor robustness of traditional
concrete crack detection methods, a real-time concrete crack detection and geometric …

Deep learning-based methods have achieved excellent performance in image-deraining
tasks. Unfortunately, most existing deraining methods incorrectly assume a uniform rain …

This paper describes a system that can automatically determine the result of the slag dart
input to the converter during tapping of basic oxygen furnace (BOF), by directly observing …