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 ...
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.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results