AC/DC
PulseAugur coverage of AC/DC — every cluster mentioning AC/DC across labs, papers, and developer communities, ranked by signal.
No coverage in the last 90 days.
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ZScribbleSeg framework uses efficient scribble annotations for medical image segmentation
Researchers have developed ZScribbleSeg, a new framework designed to improve medical image segmentation using efficient scribble annotations. This approach addresses the labor-intensive nature of fully annotating datase…
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RD-ViT cuts data needs for segmentation, outperforming standard ViT with fewer parameters
Researchers have developed RD-ViT, a novel Recurrent-Depth Vision Transformer designed for semantic segmentation tasks. This architecture significantly reduces data dependence by using a single, shared transformer block…
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Researchers develop new AI methods for medical image segmentation and continual learning
Researchers are developing advanced techniques for medical image segmentation, addressing challenges like domain shifts and prompt dependency. One approach focuses on prompt-free, parameter-efficient fine-tuning of mode…