Abstract Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...

Camouflaged object detection (COD) and salient object detection (SOD) are two distinct yet closely-related computer vision tasks widely studied during the past decades. Though sharing the same purpose ...

Japan's Sumitomo and impact investment fund Builders Vision have invested in U.S.-based rare earths processing startup Phoenix Tailings, the latest move by manufacturers to boost production of the ...

House Republicans are looking for ways to pass President Donald Trump's policies via the budget reconciliation process.

This is the repository of Vision-Language Model for Object Detection and Segmentation: A Review and Evaluation Evaluation Radar Results: ...

Extensive experiments show that CrossFormer++ outperforms the other vision transformers on image classification, object detection, instance segmentation, and semantic segmentation tasks.

GLP-1) receptor agonists, which are used to treat type 2 diabetes and/or obesity, were linked to vision problems in a small study. Here's what doctors have to say.

Robotic vision, a cornerstone of modern robotics, enables machines to interpret and respond to their surroundings effectively. This capability is achieved through image processing and object ...

The transformer-based semantic segmentation approaches, which divide the image into different regions by sliding windows and model the relation inside each window, have achieved outstanding success.

Scrolls found in the shadow of Vesuvius and libraries of ancient texts besides are being illuminated by machine learning and computer vision.

So what happens when you accidentally flush a small, solid object down the toilet? It’s a scenario that might be familiar to parents of young children with a penchant for taking tiny toys with ...