As shown below, the inferred masks predicted by our segmentation model trained by the dataset appear similar to the ground truth masks. This is a heavily engineered, image-only, machine-learning-ready ...
Abstract: Open-vocabulary camouflaged object segmentation (OVCOS) seeks to segment and classify camouflaged objects in arbitrary categories, presenting unique challenges due to visual ambiguity and ...
This is the first experiment of Image Segmentation for Prostate based on our TensorFlowFlexUNet (TensorFlow Flexible UNet Image Segmentation Model for Multiclass), and ...
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 ...
More than 250 looted objects are on display in UNESCO's Virtual Museum of Stolen Cultural Objects. UNESCO To raise awareness of the illicit trafficking of cultural heritage artifacts, from ...
Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts 02215, ...
Abstract: Video Object Segmentation (VOS) task aims to segment objects in videos. However, previous settings either require time-consuming manual masks of target objects at the first frame during ...