Heterogeneous feature-aware Transformer-CNN coupling network for person re-identification.

The mAP of our proposed TCCNet can reach 66.9%, which indicates that the heterogeneous network structure extracts comprehensive and highly significant features, largely reducing the effect of background noise on the model, thus achieving improved model performance.

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