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G-MAD: A Game-Based Data Generation Framework for Multi-View RGB-T Aerial Object Detection

4 upvotes · 22 JUL 2026 · Yechan Kim, JongHyun Park, Dongho Yoon et al.

This paper introduces a new framework for generating synchronized multi-view RGB-T data for aerial object detection, which can help practitioners improve their object detection models by training on more realistic data and by reducing the need for expensive real-world data collection.

aerial object detectionRGB-T datagame-based data generationmulti-viewbenchmarking