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Domain-adaptive Person Re-identification without Cross-camera Paired Samples
Therefore, the supervised model training is achieved under the style supervision of the target domain by exchanging styles between source-domain samples and target-domain samples, and the challenges caused by the lack of cross-camera paired samples are solved by utilizing cross-camera similar samples.
Domain Adaptive Person Re-Identification
Person Re-Identification
Associative Learning Mechanism for Drug-Target Interaction Prediction
The proposed model enhances the corresponding ability to capture the feature information of a single molecular sequence by the drug/protein molecular representation learning module and supplements the information interaction between molecular sequence pairs by the interactive information learning module.
