In June 2025, the EBU Video Systems group organised tests with a range of vendors of contribution codecs and/or video processors. EBU Tech Report 092 provides the resulting state-of-the-art in ...
Abstract: In this paper, we introduce U-Net v2, a new robust and efficient U-Net variant for medical image segmentation. It aims to augment the infusion of semantic information into low-level features ...
Abstract: Semantic segmentation of aerial images is essential for unmanned aerial vehicle (UAV) applications in disaster management, particularly for identifying the flood-affected areas. Traditional ...
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Microsegmentation Helps Respond Faster To Cyberthreats, Lowers Cyber Insurance Costs
New Akamai report shows 90% of organisations have adopted some form of segmentation, but only 35% have implemented microsegmentation across their network environment.
Additional inclusion criteria included having at least one OCT-A image captured at the time of treatment cessation ... or main vessel/central trunk. The inner segmentation line in the B-scan was ...
Researchers at University of Tsukuba have developed DeMemSeg, an AI-powered analysis pipeline that addresses a long-standing ...
Overview of VeloxSeg. VeloxSeg employs an encoder-decoder architecture with Paired Window Attention (PWA) and Johnson-Lindenstrauss lemma-guided convolution (JLC) on the left, using 1x1 convolution as ...
For startups and established businesses, understanding the importance of segmentation is essential for the granular analysis of consumer demographics, behaviors, needs, and preferences. These insights ...
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