Elev Vision Sam

Elev Vision Sam (EVS) research focuses on leveraging the Segment Anything Model (SAM) and related vision-language models for improved image segmentation across diverse applications. Current research emphasizes adapting SAM for specific domains, such as medical imaging, remote sensing, and robotics, often incorporating techniques like prompt engineering, few-shot learning, and multimodal fusion to enhance accuracy and efficiency. This work holds significant potential for advancing various fields by enabling more accurate and automated image analysis, particularly in scenarios with limited labeled data or complex visual contexts.