This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature ...
Abstract: Open-Vocabulary 3D segmentation assigns semantic labels to 3D scenes from free-form text prompts. Many approaches fuse multi-view 2D embeddings into a 3D representation, but performance ...
Abstract: In this paper, we introduce a simple but effective training-free pipeline for handling the task of text-to-video object segmentation. Our approach leverages open-source Multimodal Large ...
Welcome to Smithsonian Open Access, where you can download, share, and reuse millions of the Smithsonian’s images—right now, without asking. With new platforms and tools, you have easier access to ...
Business 2 Community is an industry-leading platform where the professionals across the industry share their expert knowledge for the community. We only work with the best writers All of our writers ...
The GlassWorm malware campaign is being used to fuel an ongoing attack that leverages the stolen GitHub tokens to inject malware into hundreds of Python repositories. "The attack targets Python ...
A search robot developed by researchers in Germany can reportedly track missing objects in homes and dynamic environments by using language models together with three-dimensional mapping. The robot, ...
Three main pipelines: UMamba3DUNet, SAM2Adapter3D, and MoE (SAM2 + UMamba + gating). MoE leverages SAM2 for sharp boundaries and UMamba for deep 3D context; the gate selects experts per voxel.
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