Abstract: Visual object tracking remains challenging under complex motion, long-term occlusion, and distractor interference. The Segment Anything Model 2 (SAM2) provides a strong foundation for visual ...
IBISAgent is a novel agentic Multimodal Large Language Model (MLLM) framework designed to address the limitations of existing medical MLLMs in fine-grained pixel-level understanding. unlike previous ...
Abstract: Given the limitations of traditional feature coding in capturing multiscale information and precise segmentation, existing deep learning-based change detection (CD) methods often suffer from ...
I would like to contribute a new example under the computer vision section that demonstrates image segmentation using Grounded SAM2. This section will allow users to segment parts of an image ...
Have you ever admired how smartphone cameras isolate the main subject from the background, adding a subtle blur to the background based on depth? This “portrait mode” effect gives photographs a ...
This article is brought to you by our exclusive subscriber partnership with our sister title USA Today, and has been written by our American colleagues. It does not necessarily reflect the view of The ...
Recent advances in segmentation foundation models like the Segment Anything Model (SAM) have shown impressive performance on natural images and videos. Still, their application to medical data remains ...
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