Vision-Language Segmentation
3 papers with code • 0 benchmarks • 0 datasets
Benchmarks
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Most implemented papers
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models
Medical image segmentation with deep learning is an important and widely studied topic because segmentation enables quantifying target structure size and shape that can help in disease diagnosis, prognosis, surgery planning, and understanding.
Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in Echocardiography
naamiinepal/synthetic-boost
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However, the lack of readily available data in echocardiography hampers the training of VLSMs.
Interpretable Diffusion via Information Decomposition
For diffusion models, we show that a natural non-negative decomposition of mutual information emerges, allowing us to quantify informative relationships between words and pixels in an image.
