Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases

This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which ...
IEEE

Edge-Guided and Multiscale Feature Optimization-Based Semantic Segmentation Network for Remote Sensing Images

Abstract: Accurate semantic segmentation of remote sensing imagery is fundamental to geospatial analysis, yet the task remains daunting due to intrinsic complexities such as blurred object boundaries, ...
IEEE

CLIP2RS: Leveraging Pretrained Vision-Language Model for Semantic Segmentation of Remote Sensing Images

Abstract: Semantic segmentation of remote sensing (RS) images is a very challenging task due to the complicated characteristics such as diversity, complexity, and massiveness. Current research ...