Semantic Segmentation

A research team from Skoltech and Saint-Petersburg State University of Aerospace Instrumentation have presented a paper in which they pioneered an alternative method for detecting decayed and moldy apples at the post-harvest stage, when fruits are stored and then delivered to the customer. A computer vision system will determine different defects at the early stage, ...

In the paper, “Extended SLIC superpixels algorithm for applications to non-imagery geospatial rasters,” published in the International Journal of Applied Earth Observation and Geoinformation, researchers from Adam Mickiewicz University and University of Cincinnati proposed an improved version of the popular SLIC algorithm for image segmentation, known as extended SLIC, to be applicable on multidimensional spatial ...

“Object segmentation” is nothing new; AI researchers have worked on it for years. But typically, building these models has been a time-consuming process requiring lots of human annotation of images and considerable computing resources. And typically the resulting models were highly specialized to particular use cases. Now though, researchers at Meta have unveiled the Segment ...

How lightning travels from the sky to the ground inspired the concept behind a new algorithmic approach to digitally separate individual trees from their forests in automatic forest mapping. “When lightning travels from the sky to the ground, it finds the path of least resistance through the atmosphere,” said Joshua Carpenter , a Ph.D. student ...