Abstract: Cutmix-based data augmentation, which uses a cut-and-paste strategy, has shown remarkable generalization capabilities in deep learning. However, existing methods primarily consider global ...

Abstract: Data augmentation is vital for object detection tasks that require expensive bounding box annotations. Recent successes in diffusion models have inspired the use of diffusion-based synthetic ...

Congratulations to the Baidu Canghai Storage Team for their paper titled "Mantle: Efficient Hierarchical Metadata Management for Cloud Object Storage Services" in collaboration with the University of ...

Autodesk’s new 3D generative AI models for Fusion and Forma, featuring neural CAD and AutoConstrain, aim to streamline design workflows, enabling intuitive concept-to-detailed design transitions and ...

Interstellar object 3I/ATLAS nucleus size remains one of the biggest mysteries in astronomy. Scientists are analyzing telescope data and preparing spacecraft observations to determine its true size, ...