[HTML][HTML] Review of large vision models and visual prompt engineering
Visual prompt engineering is a fundamental methodology in the field of visual and image
artificial general intelligence. As the development of large vision models progresses, the …
artificial general intelligence. As the development of large vision models progresses, the …
On the challenges and perspectives of foundation models for medical image analysis
This article discusses the opportunities, applications and future directions of large-scale
pretrained models, ie, foundation models, which promise to significantly improve the …
pretrained models, ie, foundation models, which promise to significantly improve the …
Segment anything in medical images
Medical image segmentation is a critical component in clinical practice, facilitating accurate
diagnosis, treatment planning, and disease monitoring. However, existing methods, often …
diagnosis, treatment planning, and disease monitoring. However, existing methods, often …
Sam 2: Segment anything in images and videos
We present Segment Anything Model 2 (SAM 2), a foundation model towards solving
promptable visual segmentation in images and videos. We build a data engine, which …
promptable visual segmentation in images and videos. We build a data engine, which …
Segment anything model for medical image analysis: an experimental study
Training segmentation models for medical images continues to be challenging due to the
limited availability of data annotations. Segment Anything Model (SAM) is a foundation …
limited availability of data annotations. Segment Anything Model (SAM) is a foundation …
Segment anything model for medical images?
Abstract The Segment Anything Model (SAM) is the first foundation model for general image
segmentation. It has achieved impressive results on various natural image segmentation …
segmentation. It has achieved impressive results on various natural image segmentation …
Medical sam adapter: Adapting segment anything model for medical image segmentation
The Segment Anything Model (SAM) has recently gained popularity in the field of image
segmentation due to its impressive capabilities in various segmentation tasks and its prompt …
segmentation due to its impressive capabilities in various segmentation tasks and its prompt …
Samrs: Scaling-up remote sensing segmentation dataset with segment anything model
The success of the Segment Anything Model (SAM) demonstrates the significance of data-
centric machine learning. However, due to the difficulties and high costs associated with …
centric machine learning. However, due to the difficulties and high costs associated with …
Ma-sam: Modality-agnostic sam adaptation for 3d medical image segmentation
Abstract The Segment Anything Model (SAM), a foundation model for general image
segmentation, has demonstrated impressive zero-shot performance across numerous …
segmentation, has demonstrated impressive zero-shot performance across numerous …
Efficientsam: Leveraged masked image pretraining for efficient segment anything
Abstract Segment Anything Model (SAM) has emerged as a powerful tool for numerous
vision applications. A key component that drives the impressive performance for zero-shot …
vision applications. A key component that drives the impressive performance for zero-shot …