This paper presents a graph cut approach to the image segmentation task. Considering the image to be a directed graph with two nodes representing the source (object) and the sink (background), the ...

The transformer-based semantic segmentation approaches ... a novel relation modeling method acting on sliding windows, using graph convolutions to establish relationships between windows and ...

This image-fused point cloud semantic segmentation with fusion graph convolutional network is able to utilize the information of multi-modal data such as images and point clouds more efficiently ...

At ARVO 2025, in Salt Lake City, Utah, Patipol Tiyajamorn, talked about his poster on using graph neural networks to identify ...

According to a blog post from Meta, SAM is an image segmentation ... interactive demo of its segmentation technology. In the demo, visitors can upload a photo and use "Hover & Click" (selecting ...