However, most existing person ReID methods pay little attention to this resolution discrepancy problem. One paradigm to deal with this problem is to use some complicated methods for mapping all images into an artificial image space, which however will disrupt the natural image distribution and ...
Cross-resolution Person Re-identification (ReID) faces the significant challenge of large resolution variance across different camera views in real surveillance systems. Most approaches based on super-resolution (SR) excessively rely on the SR images, which may lead to the loss of low-resolution (...
Cross-resolution person re-identification (CR-ReID) seeks to overcome the challenge of retrieving and matching specific person images across cameras with varying resolutions. Numerous existing studies utilize established CNNs and ViTs to resize captured low-resolution (LR) images and align them with ...
Similar to some multi-task learning methods, we do not add 𝐿𝐼𝑅LIR and 𝐿ReIDLReID together and backward them separately. 4. Experiments 4.1. Datasets Our experiments are based on five public cross-resolution person re-ID datasets, comprising one real-world dataset (i.e., CAVIAR) ...