MGRNet uses modality-aware graphs with selective node swapping and missing-modality reconstruction to achieve state-of-the-art multi-modal ReID results on four benchmarks.
Cross-modality person re-identification with generative adversarial training,
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Reliable Multi-Modal Object Re-Identification via Modality-Aware Graph Reasoning
MGRNet uses modality-aware graphs with selective node swapping and missing-modality reconstruction to achieve state-of-the-art multi-modal ReID results on four benchmarks.