AI and multimodal data are reshaping analytics. Success requires architectural flexibility: matching tools to tasks in a ...

The accurate prediction of pedestrians is a particularly challenging task, since the existing algorithms have more difficulty detecting small objects. This work studies and addresses this often ...

Transformer-based object detection methods have demonstrated significant application potential in autonomous driving technology. As the demands for adaptability to complex scenarios, real-time ...

NLWeb is short for Natural Language Web Microsoft says every NLWeb instance will act as an MCP server NLWeb is technology agnostic and supports all major operating ...

NLWeb is an open project developed by Microsoft that aims to make it simple to create a rich, natural language interface for websites using the model of their choice and their own data. Our goal is ...

We propose an improved pedestrian detection algorithm based on Faster RCNN. First, the image features are extracted by CNN, and the areas that may contain pedestrians are extracted by clustering and ...