Abstract: Semantic segmentation is one of the fundamental tasks of pixel-level remote sensing image analysis. Currently, most high-performance semantic segmentation methods are trained in a supervised ...

We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...

Abstract: Deformable medical image registration plays a significant role in medical image analysis. With the advancement of deep neural networks, learning-based deformable registration methods have ...

This is a compelling opportunity to join a market leader where you will work at the intersection of data, machine learning, and business impact, using advanced analytics to drive strategic ...

AI. Is there reason to worry? A new experiment tests how gen-AI imagery can affect how people feel about their bodies.

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

Naveen Rao's Unconventional AI has released Un-0, an image generation model running on a simulated oscillator chip architecture it claims could slash power.

Integration of smartphone-based imaging and artificial intelligence (AI)-driven diagnostics provides an effective strategy ...

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...

Moving forward requires coordinated technical, policy, and educational responses. An outright ban on AI in peer review, as is ...

In 1927, the term "picture element," later abbreviated to "pixel," appeared for the first time in the American technology magazine Wireless World. Today, pixels are everywhere: in computer screens and ...