Abstract: Domain-adaptive remote sensing image (RSI) semantic segmentation mitigates the overfitting problem that affects the effectiveness of segmentation, which results from the scarcity of ...

Abstract: RGB–Thermal semantic segmentation (SS) aims to combine visual light and thermal images to determine the semantic category for each pixel and create an object mask. While existing methods ...

Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability and safety required for autonomous robotic systems ...

structured output from the OpenAI service. This model will be used to parse the structured output from the OpenAI service, and ensure that the model correctly outputs the schema based on the Pydantic ...

Task: Classify every pixel of a synthetic desert offroad image into one of 10 semantic classes: Background, Trees, Lush Bushes, Dry Grass, Dry Bushes, Ground Clutter, Logs, Rocks, Landscape, and Sky.