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 ...

Abstract: Unsupervised domain adaptation (UDA) techniques are vital for semantic segmentation in geosciences, effectively utilizing remote sensing imagery across diverse domains. However, most ...

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 ...

Meta's newly launched Muse Image is the tech giant's first AI image generator.

Google Brain and DeepMind researcher Andrew Dai, believes that learning from, and reasoning about, images is fundamental to rapid intelligence gains.

By Eli Tan Reporting from San Francisco Meta on Friday paused a new artificial intelligence feature on Instagram that allowed ...

The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...

Muse Image, which can create realistic images for users on Instagram and WhatsApp, is the company’s latest attempt to catch up in the global artificial intelligence race. By Eli Tan Reporting from San ...

Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...