Few-shot Adaptation of Training-frEe SAM (FATE-SAM) is a versatile framework for 3D medical image segmentation that adapts the pretrained SAM2 model without fine-tuning. By leveraging a support ...
This is a face parsing model for high-precision facial feature segmentation based on BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation. This model accurately segments various ...
Abstract: Accurate automatic segmentation of blood vessels in ophthalmic images is crucial for the early diagnosis of many diseases. These images are typically high-resolution and contain intricate ...
When it comes to market segmentation, I don’t see truly well-documented cases often. At a more simplistic level, we think of classic matrices such as BCG or McKinsey’s. But the real exercise of ...
Semantic segmentation is a core task in computer vision, essential for applications requiring detailed scene understanding, such as medical imaging, precision agriculture, and remote sensing. Recent ...
We independently review everything we recommend. We may get paid to link out to retailer sites, and when you buy through our links, we may earn a commission. Learn more› By Rory Evans Rory Evans is a ...
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