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 ...
Netflix has open-sourced an AI framework that can remove objects from videos and automatically adjust the physical effects those objects had on the rest of the scene. The system is called VOID, short ...
Abstract: Accurate automatic segmentation of blood vessels in ophthalmic images is crucial for the early diagnosis of many diseases. These images are typically high-resolution and contain intricate ...
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 ...
Meet OWLSAM2: a groundbreaking project that combines the cutting-edge zero-shot object detection capabilities of OWLv2 with the state-of-the-art mask generation prowess of SAM2 (Segment Anything Model ...
It is not strictly correct to say that SAM2 only supports points as prompts. Based on my review of the SAM2 source code yesterday, it also supports masks as prompts ...
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