grounding
Country:
- Europe > France > Île-de-France > Paris > Paris (0.04)
- Asia > Middle East > Jordan (0.04)
Genre:
- Research Report > Experimental Study (1.00)
- Research Report > New Finding (0.67)
Technology:
- Information Technology > Artificial Intelligence > Vision (1.00)
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning (0.93)
CityRefer Datasheet We follow the guidelines of the datasheets for datasets [ 1 ] to explain the composition, collection, recommended use case, and other details of the CityRefer dataset
For what purpose was the dataset created? We created this CityRefer dataset to facilitate research toward city-scale 3D visual grounding. Who created the dataset (e.g., which team, research group) and on behalf of which entity (e.g., Who funded the creation of the dataset? What do the instances that comprise the dataset represent? CityRefer contains descriptions for 3D visual grounding on large-scale point cloud data.
Technology:
City Refer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data
In this paper, we introduce the CityRefer dataset for city-level 3D visual grounding.
Country:
- Europe > United Kingdom > England > Staffordshire (0.04)
- North America > Canada > Ontario > Toronto (0.04)
- Asia > Japan > Honshū > Kantō > Tokyo Metropolis Prefecture > Tokyo (0.04)
Technology:
Country:
- South America > Chile (0.04)
- Asia > Middle East > UAE > Abu Dhabi Emirate > Abu Dhabi (0.04)
- Asia > Middle East > Israel (0.04)
Technology:
Country:
- North America > United States > California > Orange County > Irvine (0.04)
- North America > United States > Pennsylvania > Allegheny County > Pittsburgh (0.04)
- Asia > Middle East > Jordan (0.04)
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (1.00)
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (1.00)
- Information Technology > Artificial Intelligence > Robots (0.93)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.49)
Country:
- Asia > China > Heilongjiang Province > Daqing (0.04)
- South America > Chile > Santiago Metropolitan Region > Santiago Province > Santiago (0.04)
Technology:
Implicitly learning to reason in first-order logic
Neural Information Processing Systems http://nips.cc/
Country:
- Africa > South Sudan > Equatoria > Central Equatoria > Juba (0.05)
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
- North America > Canada (0.04)
Technology:
CounterfactualContrastiveLearningfor Weakly-SupervisedVision-LanguageGrounding
Vision-language grounding is a fundamental and crucial problem in multi-modal understanding.
Country:
- North America > Canada > British Columbia > Metro Vancouver Regional District > Vancouver (0.04)
- Asia > China (0.04)
Country:
- North America > Canada > Ontario (0.04)
- North America > Canada > British Columbia (0.04)
Technology:
- Information Technology > Artificial Intelligence > Vision (1.00)
- Information Technology > Artificial Intelligence > Natural Language (1.00)
- Information Technology > Sensing and Signal Processing > Image Processing (0.94)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.93)