Tech is getting smarter at spotting things in new places. Imagine you teach a computer to recognize cars using pictures from one city. Now, you want it to work in a different city with different lighting and roads. This is tricky because the computer might not recognize cars as well in the new place. One way to help the computer is to have it label some pictures its...
In the world of medical image analysis, a new tool called X-UNet is making waves. It's designed to help doctors and researchers better understand medical images by focusing on important details and patterns. X-UNet uses a special technique called the CFGC module. This module helps the tool to look at images from different angles and sizes, which is crucial for medic...
In the world of computer vision and language processing, there's a big challenge: how to make sure that when a computer tries to match pictures with text, it does so in a trustworthy way. This is called visual-textual retrieval. The problem is that current methods don't always know when they're making a mistake. They just rank things based on how similar they seem, b...
Cities are more than just concrete and steel. They have a vibe, a feel, and a quality that can make or break how people live and behave. But how do you measure that? A recent study used a mix of street-level photos and computer smarts to rate the quality of urban environments across the U. S. The focus was on five key aspects: beauty, relaxation, nature, walkability,...
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 not good at capturing edges. Edges are the lines that define the sha...
During the COVID-19 pandemic, social distancing was a key strategy to slow the spread of the virus. This strategy relied heavily on individuals adhering to guidelines. However, it was not just personal choices that influenced whether people kept their distance. The environment played a significant role too. Researchers used surveillance footage and computer vision t...
In the world of computer vision and artificial intelligence, 3D Human Pose Estimation (HPE) is a big deal. It's all about finding and pinpointing different body parts from images and videos, then turning that data into a 3D structure. This tech has a huge range of uses, from healthcare to entertainment, and it's growing fast. Deep learning has been a game-changer fo...
Imagine machines that can see, understand, and even talk about what they see. This is not science fiction; it's the world of foundation models in computer vision. These models are teaching machines to make sense of the complex world around us. Foundation models are like superheroes in the world of AI. They can handle different types of data like images, text...
In the realm of computer vision, dealing with images taken in bad weather is a big deal. Think about it—rain, snow, and haze can mess up pictures, making it hard for computers to see what's going on. Most current methods can only handle one type of weather mess at a time. That's where MWFormer comes in. This clever tool is designed to fix images ruined by multiple we...
Let's think about the way Tobacco promotion happens these days. Its not the same as 2010 when teens would look at sports and entertainment figures on television. Promotional tactics have shifted to platforms like Instagram and TikTok. there social media influencers are usually seen promoting e-cigarettes among other products. . But what do the Promotional tactic...