SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...

Background: This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual ...

Abstract: Accurate segmentation in medical images is a crucial step in a CAD system, improving clinical workflows and proper treatment planning. Deep learning-based approaches have gained popularity ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

After learning the instance segmentation task, there is a problem that the segmentation masks are incomplete for objects that go beyond the image boundary. This problem appears if you train on a large ...

Abstract: In the context of clustering and classification, the choice between spatial and spectral features hinges on data characteristics and analytical goals. Spatial features excel in spatially ...