PICTOU LODGE RESORTBusiness Directories,Company Directories

Company Name: Corporate Name:	PICTOU LODGE RESORT
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Company Address:	Braeshore,PICTOU,NS,Canada
ZIP Code: Postal Code:	B0K
Telephone Number:	9024854322
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USA SIC Code(Standard Industrial Classification Code):	64650
USA SIC Description:	CONVENTION & MEETING PLANNING SERVICES
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3DAffordSplat: Efficient Affordance Reasoning with 3D Gaussians
To overcome these limitations, we present 3DAffordSplat, the first large-scale, multi-modal dataset tailored for 3DGS-based affordance reasoning This dataset includes 23,677 Gaussian instances, 8,354 point cloud instances, and 6,631 manually annotated affordance labels, encompassing 21 object categories and 18 affordance types
3DAffordSplat - hcplab-sysu. github. io
To overcome these limitations, we present 3DAffordSplat, the first large-scale, multi-modal dataset tailored for 3DGS-based affordance reasoning This dataset includes 23k Gaussian instances, 8 3k point cloud instances, and 6 6k manually annotated affordance labels, encompassing 21 object categories and 18 affordance types
3DAffordSplat|3D高斯泼溅数据集|功能推理数据集
3DAffordSplat是首个针对3D高斯泼溅（3DGS）的 affordance 推理任务构建的大规模多模态数据集，包含23,677个高斯实例、8,354个点云实例和6,631个人工标注的affordance标签，涵盖21个物体类别和18种affordance类型。
Weizm AffordSplat · Datasets at Hugging Face
In this repository, we present 3DAffordSplat, the first large-scale, multi-modal dataset tailored for 3DGS-based affordance reasoning This dataset includes 23k Gaussian instances, 8k point cloud instances, and 6k manually annotated affordance labels, encompassing 21 object categories and 18 affordance types
创新跨模态结构对齐模块！3DAffordSplat：首个专为3DGS设计的大规模多模态功能数据集-CSDN博客
3DAffordSplat是首个专为3DGS设计的大规模多模态功能数据集，通过丰富的物体类别和功能类型标注填补了该领域空白。基于此构建的AffordSplatNet模型创新性地采用跨模态结构对齐模块，有效弥合了点云与高斯表示之间的鸿沟，实现了更精准鲁棒的功能推理。
3DAffordSplat: Efficient Affordance Reasoning with 3D Gaussians
We introduce 3DAffordSplat, the first large-scale, multi-modal 3DGS-based Affordance Reasoning with comprehensive affordance annotations, comprising Gaussian, point cloud, and textual instruction modalities
[论文审查] 3DAffordSplat: Efficient Affordance Reasoning with 3D Gaussians
该论文介绍了一种名为 3DAffordSplat 的新型大规模多模态数据集，专为基于 3D Gaussian Splatting (3DGS) 的可供性推理而设计。论文同时提出了一种名为 AffordSplatNet 的新颖模型，该模型利用 3DGS 表示进行可供性推理。
多模态大模型的跨模态对齐模块有哪些工作？ - 知乎
3DAffordSplat是首个专为3DGS设计的大规模多模态功能数据集，通过丰富的物体类别和功能类型标注填补了该领域空白。基于此构建的AffordSplatNet模型创新性地采用跨模态结构对齐模块，有效弥合了点云与高斯表示之间的鸿沟，实现了更精准鲁棒的功能推理。
【4. 16-arXiv】南开、西北工大提出PraNet-V2！ - 知乎
中山大学推出了3DAffordSplat数据集和AffordSplatNet模型，利用3D高斯分布表示和跨模态结构对齐模块，提高了3D功能区域识别的精度和泛化能力。
3DGS | Talk2Paper
To overcome these limitations, we present 3DAffordSplat, the first large-scale, multi-modal dataset tailored for 3DGS-based affordance reasoning This dataset includes 23,677 Gaussian instances, 8,354 point cloud instances, and 6,631 manually annotated affordance labels, encompassing 21 object categories and 18 affordance types