Results 301 to 310 of about 495,335 (353)

Shifting ground

Science, 2021
Fleets of radar satellites are measuring movements on Earth like never before.
openaire   +2 more sources

Aria-UI: Visual Grounding for GUI Instructions

Annual Meeting of the Association for Computational Linguistics
Digital agents for automating tasks across different platforms by directly manipulating the GUIs are increasingly important. For these agents, grounding from language instructions to target elements remains a significant challenge due to reliance on HTML
Yuhao Yang, Yue Wang, Dongxu Li, Ziyang Luo, Bei Chen, Chao Huang, Junnan Li   +6 more
semanticscholar   +1 more source

Ground Emu as a Replacement for Ground Turkey and Ground Beef

Journal of the American Dietetic Association, 1997
Abstract LEARNING OUTCOME: To describe the consumer acceptability of ground emu as a low fat substitute for ground turkey and ground beef. A serving (3.5 oz.) of ground turkey or beef can have up to 13g. or 18g. of fat, respectively. To provide lower fat food choices for Americans, producers are developing or offering new products. Emu, a red meat,
M.J. Miller, D. Holben
openaire   +1 more source

GroundingGPT:Language Enhanced Multi-modal Grounding Model

Annual Meeting of the Association for Computational Linguistics
Multi-modal large language models have demonstrated impressive performance across various tasks in different modalities. However, existing multi-modal models primarily emphasize capturing global information within each modality while neglecting the ...
Zhaowei Li, Qi Xu, Dong Zhang, Hang Song, Yiqing Cai, Qi Qi, Ran Zhou, Junting Pan, Zefeng Li, Van Tu Vu, Zhida Huang, Tao Wang   +11 more
semanticscholar   +1 more source

Ground-to-Ground Noise

The Journal of the Royal Aeronautical Society, 1954
The problems of noise on the ground coming from aircraft on the ground, while still not simple to resolve, are rather less difficult than those associated with noise coming from aircraft in flight. The source of noise—the aeroplane—is no longer travelling rapidly through the air with three degrees of freedom but is either stationary on the ground or ...
openaire   +1 more source

HawkEye: Training Video-Text LLMs for Grounding Text in Videos

arXiv.org
Video-text Large Language Models (video-text LLMs) have shown remarkable performance in answering questions and holding conversations on simple videos.
Yueqian Wang, Xiaojun Meng, Jianxin Liang, Yuxuan Wang, Qun Liu, Dongyan Zhao   +5 more
semanticscholar   +1 more source

Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models

Conference on Empirical Methods in Natural Language Processing
Video Large Language Models (Video-LLMs) have demonstrated remarkable capabilities in coarse-grained video understanding, however, they struggle with fine-grained temporal grounding.
Haibo Wang, Zhiyang Xu, Yu Cheng, Shizhe Diao, Yufan Zhou, Yixin Cao, Qifan Wang, Weifeng Ge, Lifu Huang   +8 more
semanticscholar   +1 more source

An Open and Comprehensive Pipeline for Unified Object Grounding and Detection

arXiv.org
Grounding-DINO is a state-of-the-art open-set detection model that tackles multiple vision tasks including Open-Vocabulary Detection (OVD), Phrase Grounding (PG), and Referring Expression Comprehension (REC).
Xiangyu Zhao, Yicheng Chen, Shilin Xu, Xiangtai Li, Xinjiang Wang, Yining Li, Haian Huang   +6 more
semanticscholar   +1 more source

A common ground

Trends in Immunology, 2015
The past ten years have seen great progress in our understanding of cancer in its many forms, the mechanisms that give rise to malignancy and foster its growth, and those that keep it in check. As the importance of the tumor microenvironment has become evident, so has the role of the immune cells that reside therein and those that migrate to the tumor ...
Fabiola V, Rivas, Li-Kuo, Su
openaire   +2 more sources

ScanReason: Empowering 3D Visual Grounding with Reasoning Capabilities

European Conference on Computer Vision
Although great progress has been made in 3D visual grounding, current models still rely on explicit textual descriptions for grounding and lack the ability to reason human intentions from implicit instructions.
Chenming Zhu, Tai Wang, Wenwei Zhang, Kai Chen, Xihui Liu   +4 more
semanticscholar   +1 more source