SAM Audio is the first unified AI model that can segment sound from complex audio mixtures using text, visual, and time span ...

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 ...

Abstract: The standard procedures for detecting industrial product defects typically involve collecting images, labeling defects, and training models through supervised learning. This process is often ...

Panthers punter Sam Martin’s ‘Sports Illustrated’ swimsuit model girlfriend, Berkleigh Wright, flaunts her chiseled core in a ...

Abstract: The Segment Anything Model (SAM) is a large general segmentation model proposed by Meta, which has shown amazing performance in many natural image segmentation tasks. Recently, MA-SAM has ...

Abstract: Addressing the challenges of inaccurate lung nodule segmentation due to significant scale variations, indistinct boundary textures, and intense background noise, this study introduces a ...

Abstract: Change detection is an important task in Earth observation with applications in environmental monitoring, urban development, and disaster management. Traditional supervised deep learning ...

Abstract: Accurate agricultural parcel boundary delineation is essential in remote sensing applications, yet traditional supervised methods require extensively annotated datasets and often fail to ...

Abstract: Few-shot semantic segmentation (FSS) is crucial for image interpretation, yet it is constrained by requirements for extensive base data and a narrow focus on foreground-background ...

Abstract: Aortic Dissection (AD) is a life-threatening disease that can be rapidly screened by using deep learning methods. However, deep learning model training requires a large amount of manual ...

Abstract: The Segment Anything Model (SAM) has exhibited outstanding performance in various image segmentation tasks. Despite being trained with over a billion masks, SAM faces challenges in mask ...

Abstract: Quantitative evaluation of skin wounds is important in tracking the healing process and planning the treatment. For non-invasive and automatic analysis of the wound, segmentation of the ...