SANSA unlocks the hidden semantics of Segment Anything 2, turning it into a powerful few-shot segmenter for both objects and parts. 🚀 No fine-tuning of SAM2 weights. 🧠️ Fully promptable: points · ...
Abstract: Three-dimensional (3D) medical image segmentation typically demands extensive labeled training samples, which is prohibitively time-consuming and requires significant expertise. Although ...
This repository is the official implementation of CMFS, a unified framework that leverages CLIP-guided modality interaction to mitigate noise in multi-modal image fusion and segmentation.
Abstract: Labeling large amounts of medical data is travailing, leading to the blooming of few-shot medical image segmentation, which aims to segment the foreground of a query image given a labeled ...
For Washington’s Democratic leaders, expanding protections for immigrant communities is a top priority this legislative session as the federal government carries out its mass-deportation campaign.
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