G-MAD: A Game-Based Data Generation Framework for Multi-View RGB-T Aerial Object Detection
Summary
G-MAD is an open-source framework using Arma 3 to generate synchronized multi-view RGB-T data for aerial object detection, addressing limitations of real-world datasets. It also introduces the AMOD benchmark.
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Paper page - G-MAD: A Game-Based Data Generation Framework for Multi-View RGB-T Aerial Object Detection
Source: https://huggingface.co/papers/2607.19942
Abstract
ThisworkintroducesG-MAD,anopen-sourceframeworkthatusesArma3togeneratesynchronizedmulti-viewRGB-Tdataforaerialobjectdetection.G-MADaddresseskeylimitationsofreal-worldaerialdatasetconstruction,includinglimitedviewpointcontrol,imperfectRGB-Talignmentandhighannotationcost.Theframeworksupportsstructuredscenariospecification,controllablemulti-viewcameraplacement,simultaneousvisible/thermalcapture,andautomaticboundingboxannotationusingengine-levelgeometricmetadata.Thesecapabilitiesenablecontrolledstudiesofviewpointvariation,multi-modalfusion,andsynthetic-to-realtransferinaerialobjectdetection.Besides,usingG-MAD,weconstructandreleaseAMOD,anewlarge-scalemulti-viewaerialRGB-Tobjectdetectionbenchmark.Thesourcecodeandthedatasetareavailableathttps://unique-chan.github.io/G-MAD-Project.
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