DIOR-RSVG
Introduced by Zhan et al. in RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data
DIOR-RSVG is a large-scale benchmark dataset of remote sensing data (RSVG). It aims to localize the referred objects in remote sensing (RS) images with the guidance of natural language. This new dataset includes image/expression/box triplets for training and evaluating visual grounding models.
Source: RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing DataPapers
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