Studying sounds in nature and from babies is super important. It helps in protecting wildlife and keeping newborns healthy. But, there's a big problem: noise. Background noise can mess up the data. This makes it hard to use this data for real-world problems. Scientists have been working on ways to
In the world of computer vision, spotting the main subject in a photo is a big deal. It is called Salient Object Detection. This task is tricky. Traditional methods and deep learning models often struggle. They have a hard time grabbing important details in busy scenes. This is because they are
The ability to spot soybean leaf diseases quickly and accurately is key to boosting both the amount and quality of the crop. Traditional methods of identifying diseases from images often fall short. They struggle with small targets and similar-looking diseases in complex environments. A new model,
Infrared and visible light image fusion is a hot topic in computer vision. It's all about combining the strengths of both types of images to get a better overall picture. Traditional methods have had some issues. They often struggle with extracting all the important features, lose detailed textures,
Face recognition has been around for a while. It is used in many areas, from phones to security systems. But it isn't foolproof. Lighting changes, different poses, and various skin tones can confuse it. This is where a new technique comes into play. It is called the ResNet18 facial feature extractio
Imagine if scientists could teach computers to understand our brain waves better. This is exactly what some researchers are trying to do. They are using a technique called deep learning to analyze something called functional brain networks (FBNs). These networks are like maps that show how different
