The Masked Autoencoder (MAE) is an effective self-supervised learning strategy in computer vision 29: portions of the image are masked ... with the CNN network models DenseNet121 and ResNet50, trained ...

From a streamlined image editor that prioritizes precision to a refined generation model delivering unparalleled realism, these features are more than just upgrades—they’re tools designed to ...

If you buy through our links, we may earn a commission. AI image generators are one part of the wave of generative AI technology that have become nearly inescapable. These products use text-to ...

'ZDNET Recommends': What exactly does it mean? ZDNET's recommendations are based on many hours of testing, research, and comparison shopping. We gather data from the best available sources ...

The Tesla Model 3 is one of the best electric cars around. It’s practical, high-tech, and boasts great performance and range for a competitive price. The all-electric saloon’s facelift only ...

Abstract: The balance between high accuracy and high speed has always been a challenging task in semantic image segmentation. Compact segmentation ... proving its effectiveness and generality. The ...

Two publicly accessible fundus image databases are employed to demonstrate the effectiveness of our MAAL method in mitigating model degradation and improving segmentation performance. The achieved ...

The new models stand out from previous reasoning models because they can use ChatGPT features like web browsing, coding, and image processing and generation. But they hallucinate more than several ...

This repository will soon contain the code for our paper "ClimSat - A Diffusion Autoencoder Model for Climate-conditional Satellite Image Editing" published in Science of Remote Sensing in 2025.