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

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 ...
GitHub

Hierarchical Refinement Network with Multi-Frequency Interaction for retinal vessel segmentation.

Precise retinal vasculature segmentation is critical for diagnosing various ophthalmological diseases, yet inherent challenges persist due to the complex multi-scale intricacy of vascular structure.
IEEE

Semantic Segmentation of Remote Sensing Images With Inconsistent Resolutions via a Spectral-Geometric Iterative Fusion Network

Abstract: The fusion of optical, hyperspectral, and synthetic aperture radar (SAR) images is essential for semantic segmentation in remote sensing, enabling more comprehensive land cover ...
GitHub

100 Days of Python – Angela Yu Bootcamp

Download/clone this repo to your computer. In VS Code: File → Open Folder → select the folder (e.g., 100-days-of-python). Make sure Python is set up in VS Code Install the official Python extension by ...