OpenWorldSAM pushes the boundaries of SAM2 by enabling open-vocabulary segmentation with flexible language prompts. [2026-1-4]: Demo release: we’ve added simple demos to run OpenWorldSAM on images ...
0.70.x - 0.74.x 1.0.x Old Architecture Fully Supported 0.75.x - 0.78.x 1.0.x Old & New Architecture Fully Supported Note: This library requires prebuild because it uses native iOS Vision Framework and ...
Abstract: Accurate segmentation of very high-resolution remote sensing images is vital for downstream tasks. Most semantic segmentation methods fail to fully consider the inherent characteristics of ...
Abstract: The success of deep learning in 3D medical image segmentation hinges on training with a large dataset of fully annotated 3D volumes, which are difficult and time-consuming to acquire.
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