This is a unique dataset, that goes well beyond existing ones for modeling and understanding how humans grasp and manipulate objects, how their full body is involved, and how interaction varies with the task. We illustrate the practical value of GRAB with an example application; we train Grab...
The GRAB dataset also contains binary contact maps between the body and objects. With our interacting meshes, one could integrate these contact maps over time to create "contact heatmaps", or even compute fine-grained contact annotations, as shown below: ...
The GRAB dataset also contains binary contact maps between the body and objects. With our interacting meshes, one could integrate these contact maps over time to create "contact heatmaps", or even compute fine-grained contact annotations, as shown below: ...
GRAB:评估大型多模态模型在图分析任务上的性能 2024-08-22,由剑桥大学和香港大学联合创建GRAB,目标是通过包括广泛的图表类型和问题格式来全面评估前沿模型分析图形的能力。重点关注重要的分析任务,例如从图中提取关键属性和解释复杂的数据表示。 目前遇到问题和挑战: 现有基准测试的局限性:大型多模态模型在视觉任务上的...
现有基准测试的局限性:大型多模态模型在视觉任务上的表现已经非常出色,但现有的许多知名基准测试对于评估这些模型的性能来说已经不够具有挑战性,它们没有足够的空间来区分模型之间的细微差别。 对更复杂任务的需求:LMMs 在图分析任务上,特别是解释科学和数学图形、图表的能力,是一个重要但尚未充分探索的领域。现有的基...
(a focus on China or the USA), have low sampling rates and less contextual information of the GPS pings. This paper presents Grab-Posisi, the first GPS trajectory dataset of Southeast Asia from both developed countries (Singapore) and developing countries (Jakarta, Indonesia). The data were ...
9.12.8 use the Content and/or Service to create or augment any other mapping-related dataset (including a mapping or navigation dataset, business listings database, mailing list, or telemarketing list) for use in a service that is a substitute for, or a substantially similar service to, the...
Ramp has merchant data on over 1 million unique acceptors, over 8x more than other credit card charge databases. Merchant charges aren’t always recognizable on card statements, and Ramp’s exhaustive dataset is the most reliable way to better understand where and why charges are appearing on ...
and begins processing new counter events. The counter service monitors multiple streams, as ingress assembles actual data from online data services. The resulting rich dataset will also be available for counter creators to stream resources. The workflow means that it’s not necessary to redeploy the...
GrabNetis a generative model for 3D hand grasps. Given a 3D object mesh, GrabNet can predict several hand grasps for it. GrabNet has two succesive models, CoarseNet (cVAE) and RefineNet. It is trained on a subset (right hand and object only) ofGRABdataset. For more details please refe...