most citedCan SAR improve RSVQA performance?

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

RAMEN: Resolution-Adjustable Multimodal Encoder for Earth Observation

Nicolas Houdré, Diego Marcos, Hugo Riffaud de Turckheim +4

Earth observation (EO) data spans a wide range of spatial, spectral, and temporal resolutions, from high-resolution optical imagery to low resolution multispectral products or rada…

cs.CV2025

Visual Question Answering on Multiple Remote Sensing Image Modalities

Hichem Boussaid, Lucrezia Tosato, Flora Weissgerber +3

The extraction of visual features is an essential step in Visual Question Answering (VQA). Building a good visual representation of the analyzed scene is indeed one of the essentia…

cs.CV2025

SAR Strikes Back: A New Hope for RSVQA

Lucrezia Tosato, Flora Weissgerber, Laurent Wendling +1

Remote Sensing Visual Question Answering (RSVQA) is a task that extracts information from satellite images to answer questions in natural language, aiding image interpretation. Whi…

cs.CV2024★ 1 cited

Can SAR improve RSVQA performance?

Lucrezia Tosato, Sylvain Lobry, Flora Weissgerber +1

Remote sensing visual question answering (RSVQA) has been involved in several research in recent years, leading to an increase in new methods. RSVQA automatically extracts informat…

cs.CV2024

Segmentation-guided Attention for Visual Question Answering from Remote Sensing Images

Lucrezia Tosato, Hichem Boussaid, Flora Weissgerber +3

Visual Question Answering for Remote Sensing (RSVQA) is a task that aims at answering natural language questions about the content of a remote sensing image. The visual features ex…