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InfoResearchPeer-reviewed
Reliable Multi-Modal Object Re-Identification via Modality-Aware Graph Reasoning
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Summary
This paper proposes the Modality-aware Graph Reasoning Network (MGRNet) for multi-modal object Re-Identification. The method builds modality-aware graphs over image patches, swaps selective graph nodes to reduce the effect of low-quality local features, and propagates multi-modal information to reconstruct missing modalities. The authors report state-of-the-art results on four benchmarks: RGBNT201, Market1501-MM, RGBNT100 and MSVR310.