GitHub

Mask R-CNN Instance Segmentation with OpenCV

This project demonstrates instance segmentation using Mask R-CNN with the OpenCV DNN module. The model is pre-trained on the COCO dataset and can detect and segment multiple object classes in images.
IEEE

Embodied Uncertainty-Aware Object Segmentation

Abstract: We introduce uncertainty-aware object instance segmentation (UncOS) and demonstrate its usefulness for embodied interactive segmentation. To deal with uncertainty in robot perception, we ...
GitHub

facebookresearch/sam-3d-objects

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 ...
IEEE

Variance Stabilized Loss Function for Semantic Segmentation of Smaller Objects in Medical Images

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 ...
SiliconANGLE

Meta’s new image segmentation models can identify objects and people and reconstruct them in 3D

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 ...