Abstract: Weakly supervised point cloud semantic segmentation methods that require 1% or fewer labels with the aim of realizing almost the same performance as fully supervised approaches have recently ...

Abstract: A methodology for creating self-learning tutorials, including tutorials that use screencast technology, is described in this recommended practice. Methods and practices that are applicable ...

Abstract: The adoption of third-party machine learning (ML) cloud services is highly dependent on the security guarantees and the performance penalty they incur on workloads for model training and ...

In 2025, Java is expected to be a solid AI and machine-learning language. Best Java libraries for AI in 2025 can ease building neural networks, predictive modeling, and data processing. These tools ...

Abstract: In real-world scenarios, scanned point clouds are often incomplete due to occlusion issues. The tasks of self-supervised and weakly-supervised point cloud completion involve reconstructing ...

There is a noticeable delay in the AutoCompletion popup in both NetBeans IDE and the NetBeans VSCode Extension. After investigation, it appears the delay originates from the default value of ...

Abstract: Learning signed distance functions (SDFs) from point clouds is an important task in 3D computer vision. However, without ground truth signed distances, point normals or clean point clouds, ...

Abstract: This article discusses the problem of nonuniform running length in incomplete tracking control, which often occurs in industrial processes due to artificial or environmental changes, such as ...

Get started with Java streams, including how to create streams from Java collections, the mechanics of a stream pipeline, examples of functional programming with Java streams, and more. You can think ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...