Nov 24, 2024 · Specifically, we develop a Text-guided Coarse-to-Fine Attention Refinement (CFAR) module to focus on key areas related to the question in ...

Nov 28, 2024 · In this work, we propose a Text-guided Coarse-to-Fine Fusion Network (TGFNet), which leverages the semantic relationships between question text ...

View recent discussion. Abstract: Remote Sensing Visual Question Answering (RSVQA) has gained significant research interest. However, current RSVQA methods ...

Nov 24, 2024 · Specifically, we develop a Text-guided Coarse-to-Fine Attention Refinement (CFAR) module to focus on key areas related to the question in ...

Specifically, we develop a Text-guided Coarse-to-Fine Attention Refinement (CFAR) module to focus on key areas related to the question in complex remote sensing ...

Visual question answering (VQA) has recently been introduced to remote sensing to make information extraction from overhead imagery more accessible to everyone.

鉴于合成孔径雷达（SAR）具备全天时、全天气成像的能力，将光学-SAR图像融合以提升RSVQA性能显得至关重要。本研究中，我们提出了一种文本引导的粗到细融合网络（TGFNet）， ...

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering · Environmental Science, Computer Science · 2024.

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering · Deep Orthogonal Fusion Smoothing Hashing for Remote Sensing ...

Dec 9, 2024 · We first build a CDVQA dataset including multi-temporal image-question-answer triplets using an automatic question-answer generation method.