Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...
OpenWorldSAM pushes the boundaries of SAM2 by enabling open-vocabulary segmentation with flexible language prompts. [2026-1-4]: Demo release: we’ve added simple demos to run OpenWorldSAM on images ...
Abstract: Referring remote sensing image segmentation (RRSIS) task aims to generate segmentation masks for target objects based on language descriptions. It requires precise localization while ...
Abstract: Medical image segmentation has made significant strides with the development of basic models. Specifically, models that combine CNNs with transformers can successfully extract both local and ...
The Defense Department on Monday said it has awarded over $400 million in more than a dozen contracts to aid companies in moving technologies into production under the Accelerate the Procurement and ...
Accurate medical image segmentation is crucial for precise anatomical delineation. Deep learning models like U-Net have shown great success but depend heavily on large datasets and struggle with ...
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