Polar ice, covering approximately 10% of Earth's surface and holding nearly 70% of freshwater, profoundly impacts climate and socioeconomic systems. Accurate sea ice segmentation using computer vision ...

An ongoing challenge in automatic sea-ice monitoring using synthetic aperture radar (SAR) is the automatic segmentation of SAR sea-ice images based on the underlying ice type. Given the intractability ...

One of the main roles played by real time image segmentation is to enhance and catalyse self driving cars that can accurately sense their surroundings due to in terms of proper functioning. The new ...

The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.

Title Lake Ice-Water Classification of RADARSAT-2 Images by Integrating IRGS Segmentation with Pixel-Based Random Forest Labeling ...

Polar ice, covering approximately 10% of Earth's surface and holding nearly 70% of freshwater, profoundly impacts climate and socioeconomic systems. Accurate sea ice segmentation using computer vision ...