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Multimodal Retrieval on MAG Toys benchmark

87.4R@1GOMA
9.08829.41949.7570.081May 15, 2026

Evaluation results

MethodLinks
GOMAMethod Category=Our Method, Feature Backbone=Qwen2-VL2026.0587.499.599.9
DGFMethod Category=Multimodal Graph Retrieval & Recent MAG Models, Feature Backbone=Qwen2-VL2026.0585.898.799.6
DMGCMethod Category=Multimodal Graph Retrieval & Recent MAG Models, Feature Backbone=Qwen2-VL2026.0585.298.599
SmartCLIPMethod Category=Pairwise Image-Text Retrieval Baselines, Feature Backbone=Qwen2-VL2026.0556.783.189.4
VSE++Method Category=Pairwise Image-Text Retrieval Baselines, Feature Backbone=Qwen2-VL2026.0553.68187.8
CLIP-RefineMethod Category=Pairwise Image-Text Retrieval Baselines, Feature Backbone=Qwen2-VL2026.0553.680.686.9
D2S-VSEMethod Category=Pairwise Image-Text Retrieval Baselines, Feature Backbone=Qwen2-VL2026.055078.386.3
LinearMethod Category=Direct Retrieval Baselines, Feature Backbone=Qwen2-VL2026.0538.866.876.8
LGMRecMethod Category=Multimodal Graph Retrieval & Recent MAG Models, Feature Backbone=Qwen2-VL2026.0534.469.681.4
MMGCNMethod Category=Multimodal Graph Retrieval & Recent MAG Models, Feature Backbone=Qwen2-VL2026.0518.850.667.1
MGATMethod Category=Multimodal Graph Retrieval & Recent MAG Models, Feature Backbone=Qwen2-VL2026.0515.943.859.9
GSMNMethod Category=Multimodal Graph Retrieval & Recent MAG Models, Feature Backbone=Qwen2-VL2026.0513.538.653.1
RawMethod Category=Direct Retrieval Baselines, Feature Backbone=Qwen2-VL2026.0512.12633.4