
Introducing a Camera-Aware Label Refinement framework to enhance unsupervised person re-identification by reducing label noise and addressing feature distribution discrepancies.


coremsg

camera-aware-label-refinement-for-unsupervised-person-re-identification-study


Camera-aware Label Refinement for Unsupervised Person Re-identification Study


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An adaptive intra-class variation contrastive learning algorithm for unsupervised person re-identification that selects appropriate samples and outliers to dynamically update the memory dictionary based on the current learning capability of the model, leading to improved performance and faster convergence.


adaptive-intra-class-variation-contrastive-learning-for-efficient-and-robust-unsupervised-person-re-identification


Adaptive Intra-Class Variation Contrastive Learning for Efficient and Robust Unsupervised Person Re-Identification
