Gan-Qing Mo

DMFNet: exploring diverse mid-feature for visible-infrared person re-identification

DMFNet (Diverse Mid-feature Network) is presented, a novel deep learning architecture that effectively harnesses intermediate shared features to bridge this cross-modal gap and enhances cross-modal matching capabilities but also provides interpretable feature visualizations, offering valuable insights into the network's decision-making process.