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Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models

Stanislav Panev1Minhyek Jeon1Vaishnavi Khindkar1Ahish Deshpande1Celso M 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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