After years of ever-growing competition, the blueberry industry shifted strategies. Now, the fruit is not a numbers game, but ...

Abstract: Denoising diffusion probabilistic models (DDPMs) exhibit significant potential in the realm of medical image segmentation. Nevertheless, current DDPM implementations rely on original image ...

Enterprise voice AI has fractured into three architectural paths. The choice you make now will determine whether your agents ...

Researchers at Tsinghua University developed PriorFusion, a unified framework that integrates semantic, geometric, and ...

Researchers at Tsinghua University developed PriorFusion, a unified framework that integrates semantic, geometric, and generative shape priors to ...

Realsee3D is a large-scale multi-view RGB-D dataset designed to advance research in indoor 3D perception, reconstruction, and scene understanding. Large Scale: 10,000 unique indoor scenes, comprising ...

Invent, Snir Ben Shimol makes the case that vulnerability management is at an inflection point: visibility is no longer the ...

Microscopy plays a pivotal role in modern biomedical research, enabling the visualization of fine structures in complex specimens. Fourier ptychographic microscopy (FPM) is a computational imaging ...

Recent efforts have shown the importance of context on deep convolutional neural network based semantic segmentation. Among others, the predicted segmentation map (pmap) itself which encodes rich high ...

Abstract: Deep-learning-based semi-supervised learning (SSL) methods have achieved a strong performance in medical image segmentation, which can alleviate doctors' expensive annotation by utilizing a ...