Abstract: The scarcity of high-quality annotated data in medical imaging significantly constrains the performance of deep learning-based segmentation models. While few-shot medical image segmentation ...

Abstract: Semantic segmentation is critical in remote sensing applications such as urban planning, disaster management, and environmental monitoring. However, segmenting complex satellite images ...

A new brain imaging study reveals that remembering facts and recalling life events activate nearly identical brain networks. Researchers expected clear differences but instead found strong overlap ...

Edith Cowan University provides funding as a member of The Conversation AU. You might say you have a “bad memory” because you don’t remember what cake you had at your last birthday party or the plot ...

We release COCO-Videos, a new dataset for instance and panoptic segmentation which follows the COCO labeling format. We also rely on semantic-level labels in the KITTI-STEP dataset for evaluation on ...

In 2024, the elephant in the room was how generative artificial intelligence seized the conversation. In 2025, the dialog shifted to agents and the question of whether there’s an AI bubble happening ...

When it comes to market segmentation, I don’t see truly well-documented cases often. At a more simplistic level, we think of classic matrices such as BCG or McKinsey’s. But the real exercise of ...

Where Microsoft promises enterprises better understanding of their data for workers and autonomous agents alike, analysts fear deployment hurdles and vendor lock-in. With Fabric IQ, Microsoft is ...

Marketers have long relied on simple demographic categories, including age, gender, income and region, to build segments and classifications. It’s convenient, easily understood and readily available ...