Text-to-image (T2I) diffusion/flow models have drawn considerable attention recently due to their remarkable ability to deliver flexible visual creations. Still, high-resolution image synthesis ...

The load is calculated based on the average traffic flow rate ... divides the image into blocks (32 × 32 pixels) and dynamically adjusts the threshold by combining it with the neighborhood grayscale ...

Abstract: Plane segmentation algorithms are widely used in robotics, serving key roles in scenarios such as indoor localization, scene understanding, and robotic manipulation. These applications ...

If you buy through a BGR link, we may earn an affiliate commission, helping support our expert product labs. About a week ago, OpenAI announced its newest image generator, building the GPT-4o ...

Experiments on multiple medical datasets of different modalities show that SAM-RD outperforms the current state-of-the-art model based on SAM in medical image segmentation.

Laboratory of Mathematics and Complex Systems (Ministry of Education of China), School of Mathematical Sciences, Beijing Normal University, Beijing, P. R. China ...

Therefore, researchers combined the transformer with convolutional layers for medical image segmentation (Li et al ... delve into the technical details in this section. Figure 1. The diagram of the ...

IteRPrimE is a novel framework for zero-shot referring image segmentation that leverages an Iterative Grad-CAM Refinement Strategy (IGRS) and a Primary Word Emphasis Module (PWEM) to improve ...