🔥🔥🔥VITA: Towards Open-Source Interactive Omni Multimodal LLM [📽 VITA-1.5 Demo Show! Here We Go! 🔥] [📖 VITA-1.5 Paper (Comming Soon)] [🌟 GitHub] [🤗 Hugging Face] [🍎 VITA-1.0] [💬 WeChat (微信)] We are excited to introduce theVITA-1.5, a more powerful and...
large-scale point cloud; graph convolution; multi-level features; attention mechanism; classification Graphical Abstract1. Introduction Point clouds contain rich three-dimensional (3D) spatial information and have broad application prospects in areas such as autonomous driving, virtual reality, and power ...
Figure 1. Multi-level split federated learning framework in large-scale AIoT system. Multi-level split federated learning is designed with a combination of cloud- and edge-based FL and master server-based SL. The cloud server is located in the first level, and the outer level extends to the...
La Vaque, David
Large-scale agent-based simulations, i.e., simulations that include several hundred thousand agents, can be compute intensive which is the reason why they are ideally performed on high-performance computing (HPC) systems. Domain experts (e.g., transportation engineers), who are the typical users...
The dataset presented in this paper isUASOL 8: A Large-scale High-resolution Outdoor Stereo Dataset. It was created at the University of Alicante and consists of an RGB-D stereo dataset, which provides 33 different scenes, each with between 2 k and 10 k frames. The frames show dif...
Our system for large-scale orchestration of robotic agents, which we call AutoRT, tackles this problem. 在本文中,我们研究如何设计代理以规模化地为自己收集机器人操作经验。我们工作的核心是利用基础模型中包含的知识来驱动真实世界中的机器人。我们特别关注多样化的机器人数据采集:当机器人被放置在新环境中时...
Centuries ago, influencing people on a large scale (规模) wasn’t easy for ordinary people. Word of mouth was really the only way to pass on information. Books had to be hand-copied, which took a lot of time and was expensive. When the printing press arrived, many more people could ge...
the ancient architectural complex spans a large area of space and exhibits significant scale changes. The Global Context Feature Module (GCF) module can effectively handle large-scale spatial changes, and by learning global information, the model can still maintain efficient segmentation performance when...
However, there appears to be a lack of large-scale (1:1000–1:5000) maps of debris-covered glaciers [4,5]. Recently, several remote sensing-based studies were carried out for glacier cover mapping using various pixel-based classification approaches [6,7,8]. However, object-based image ...