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VPRef: A Cross-Domain Benchmark for Referring Remote Sensing Image Segmentation

arXiv · AI, language, vision and robotics · article · Sep 15, 2026 · UTC

Rapid advancements in vision-language models have propelled Referring Remote Sensing Image Segmentation (RRSIS) to the forefront of Earth observation. However, practical deployments suffer severe performance degradation under a coupled dual-drift paradigm: visual domain drift from cross-spatial-resolution mismatches and spectral variations, alongside textual logic drift from unconstrained, variable user-input granularities. To mitigate these bottlenecks, this paper establishes the first cross-domain RRSIS benchmark, designated as the Vaihingen-Potsdam Referring (VPRef) dataset, comprising 46,9

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Evidence & attribution

arXiv · AI, language, vision and robotics · 2026-09-15T01:18:06.000Z

First collected: 2026-09-20T09:01:24.920Z. This is not the publication date.