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Joint Cross-Consistency Learning and Multi-Feature Fusion for Person Re-Identification

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To solve the problem of inadequate feature extraction by the model due to factors such as occlusion and illumination in person re-identification tasks. this paper proposed a model with a joint cross-consistency learning and multi-feature fusion person re-identification. The attention mechanism and the mixed pooling module were first embedded in the residual network so that the model a... https://trendingcustomes.shop/product-category/priority-processing/
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