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JDK 25 is an LTS release, the second on Oracle’s new two-year LTS cadence (after 21), and it lands with meaningful language cleanup, startup/perf work, forward-looking security, and a steady drumbeat ...
Out of 18 new features, three improvements sharpen Java’s edge for cloud-native, containerized, and cost-sensitive ...
Abstract: This paper presents a parameter-efficient prompt tuning method, named PPT, to adapt a large multi-modal model for 3D point cloud understanding. Existing strategies are quite expensive in ...
Global Attention-Guided Dual-Domain Point Cloud Feature Learning for Classification and Segmentation
Abstract: Previous studies have demonstrated the effectiveness of point-based neural models on the point cloud analysis task. However, there remains a crucial issue on producing the efficient input ...
Abstract: Burn-through point (BTP) is an essential thermal state parameter in a sintering process, which is a direct reflection of the stability of this process. However, it cannot be measured online.
In this paper, we introduce a GeoFormer that simultaneously enhances the global geometric structure of the points and improves the local details. Specifically, we design a CCM Feature Enhanced Point ...
Abstract: While there has been a number of studies on Zero-Shot Learning (ZSL) for 2D images, its application to 3D data is still recent and scarce, with just a few methods limited to classification.
A School Management System Java Code allows you to keep the student records, Teachers Records, Student Mark dtails and Exam Details and manage them when needed. This is a simple java project with a ...
Abstract: Multiview point cloud registration plays a crucial role in robotics, automation, and computer vision fields. This letter concentrates on pose graph construction and motion synchronization ...
Laser-scanned point clouds of forests make it possible to extract valuable information for forest management. To consider single trees, a forest point cloud needs to be segmented into individual tree ...
Abstract: Self-supervised representation learning for 3D point clouds has attracted increasing attention. However, existing methods in the field of 3D computer vision generally use fixed embeddings to ...
Abstract: Flexible actuators are popular in the consumer and medical fields because of their flexibility and compliance. However, they are typically difficult to model because of their viscoelasticity ...
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