SOURCE-LINKED INTELLIGENCE
A Unified Framework and Dataset for Oriented Object Visual Grounding in Remote Sensing
Visual grounding in remote sensing images aims to locate objects described by referring expressions. Most existing methods predict horizontal bounding boxes, which are often inaccurate for objects with arbitrary orientations. To address this limitation, we introduce O$^2$-VG, a family of models for oriented object visual grounding with three complementary designs. Specifically, O$^2$-VG-Trans is a cross-modality transformer for oriented object visual grounding. It establishes a strong discriminative foundation for the model family. Building upon it, O$^2$-VG-Uni predicts universal oriented pro
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-23T14:54:46.000Z
First collected: 2026-09-24T08:22:30.429Z. This is not the publication date.