[Submitted on 13 Oct 2026]
Title:The Gap Is in the Geometry: A Convergent Meta-Analysis of Multi-Facet Aerial and Remote Sensing Video Understanding
View a PDF of the paper titled The Gap Is in the Geometry: A Convergent Meta-Analysis of Multi-Facet Aerial and Remote Sensing Video Understanding, by Georgios Angelidis and 5 other authors
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Abstract:Aerial and remote sensing video is increasingly evaluated like web video, by posing multiple-choice questions to multimodal large language models (MLLMs) over sampled frames and reporting accuracy. This paper argues that this recipe measures the wrong aspect, and supports the claim with a convergent meta-analysis of a broad set of published results, organized in four evidence tiers, in which a claim becomes a position only when collected evidence agrees. Parameter scale exhibits a median of +3.4 accuracy points per tenfold increase on aerial benchmarks, far below a human gap of at least 19 points, whereas acquisition conditions control perception, as 315 of 318 evaluations in 19 within-paper contrasts lose accuracy when conditions such as altitude, view, object size or time horizon become harder. No aerial benchmark in the corpus combines video input with per-task human and random baselines, competence collapses from answering to acting in closed-loop navigation, and the same MLLMs score higher on the aerial benchmark than on ground spatial ones, but lower on studies that test cross-view geometry. From these findings the current study derives five falsifiable principles and proposes the AVU-Card, a reporting card for aerial video benchmarks
Comments: 12 pages, 3 figures
Subjects:
Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2610.19102 [cs.CV]
(or arXiv:2610.19102v1 [cs.CV] for this version)
https://doi.org/10.48550/arXiv.2610.19102
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Georgios Angelidis [view email] [v1] Tue, 13 Oct 2026 19:39:34 UTC (102 KB)
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