Semantic segmentation of high-resolution remote sensing images is vital in downstream applications such as land-cover mapping, urban planning, and disaster assessment. Existing Transformer-based ...

Python Libraries are collections of pre-written code that provide functionality for specific tasks, simplifying programming and development. In this post, we are going to see how you can install ...

Microsoft CTO Kevin Scott previously said he expects 95% of all code to be AI generated by 2030. When Nadella threw the question back at Zuckerberg, the Meta CEO said he didn’t know how much of ...

MXNet from the offical repository. We tested our code on MXNet@ (commit 62ecb60). Due to the rapid development of MXNet, it is recommended to checkout this version if you encounter any issues. We may ...

The team proposed a Graph-Segmenter, including a Graph Transformer and a Boundary-aware Attention module, which is an effective network for simultaneously modeling the more profound relation ...

LiDAR semantic segmentation is one of the crucial tasks for scene understanding in autonomous driving. Recent trends suggest that voxel- or fusion-based methods obtain improved performance. However, ...

Microsoft yesterday announced the general availability of Semantic Kernel for Python and Java, advancing the open source AI integration SDK that is a key component of the company's Copilot stack of AI ...

Choosing the proper ground sampling distance (GSD) is a vital decision in remote sensing, which can determine the success or failure of a project. Higher resolutions may be more suitable for ...

Start Maximizing The Semantic Value of Schema Markup Rich results are not dead. In fact, they have never been more alive!

Microsoft’s Semantic Kernel team is building on OpenAI’s Assistant model to deliver one kind of intelligent agent, along with a set of tools to manage calling multiple functions.