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Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models

Stanislav Panev1Minhyek Jeon1Vaishnavi Khindkar1Ahish Deshpande1Celso de Melo2Shuowen Hu2Shayok Chakraborty1,3Fernando De la Torre1

1Carnegie Mellon University  2DEVCOM Army Research Lab  3Florida State University

ECCV 2026

arXiv Project Page

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We use foundation image generators as diagnostic instruments: synthesize attribute-controlled aerial scenes, find where detectors fail, then fix them with a small, targeted dose of real data.

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A suite of tools for generating synthetic aerial top-down view image benchmarks for diagnosing object detectors.

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