Attribute-Prompting Multi-Modal Object Reasoning Transformer for Remote Sensing Visual Grounding

Heqian Qiu; Lanxiao Wang; Minjian Zhang; Taijin Zhao; Hongliang Li

doi:10.1109/igarss53475.2024.10642669

ScienceGate Book Chapters

JOURNAL ARTICLE

Attribute-Prompting Multi-Modal Object Reasoning Transformer for Remote Sensing Visual Grounding

Heqian Qiu Lanxiao Wang Minjian Zhang Taijin Zhao Hongliang Li

Year: 2024 Pages: 9029-9032

DOI: 10.1109/igarss53475.2024.10642669

Get Full-Text PDF Get Analytical Report

Keywords:

Ground Transformer Modal Computer science Artificial intelligence Visual reasoning Computer vision Remote sensing Engineering Geology Electrical engineering Voltage

Metrics

Cited By

1.06

FWCI (Field Weighted Citation Impact)

Refs

0.68

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Attribute-Prompting Multi-Modal Object Reasoning Transformer for Remote Sensing Visual Grounding

Metrics

Citation History

Topics

Related Documents

Dynamic Multi-modal Prompting for Efficient Visual Grounding

Multi-Modal Dynamic Graph Transformer for Visual Grounding

Multi-modal fusion transformer for visual question answering in remote sensing

Language Query-Based Transformer With Multiscale Cross-Modal Alignment for Visual Grounding on Remote Sensing Images

RSVP: Reasoning Segmentation via Visual Prompting and Multi-modal Chain-of-Thought