A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

Abstract: Few-shot semantic segmentation (FSS) is of tremendous potential for data-scarce scenarios, particularly in medical segmentation tasks with merely a few labeled data. Most of the existing FSS ...

Abstract: Image segmentation is a fundamental and critical task in computer vision, with applications across various domains, such as medical imaging, autonomous driving, and satellite image analysis.

A tiny fossil fish from Alberta is forcing scientists to rethink a story that has sat quietly in textbooks for decades. It is ...

The market’s growth is primarily driven by the adoption of night vision devices integrated with Near-infrared Imaging technology for safety, security, and surveillance applications. These devices ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

A research team developed a fully automated, drone-based phenotyping workflow that can measure key peanut canopy and ...

The market is segmented into pressure sensors, temperature sensors, blood glucose sensors, blood oxygen sensors, electrocardiogram (ECG) sensors, image sensors, and others. Pressure sensors dominate ...

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence ...

SAM segments objects in images and videos, even audio can be separated by prompt: The AI model is freely available.

While Zeta Global is up big on a possible short squeeze, ZETA stock is flashing a quant signal that points to even more ...