FMCNet + : Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification.

For visible-infrared person re-identification (VI-ReID), current models that compensate modality-specific information strive to generate missing modality images from existing ones to bridge the cross-modality discrepancies. Despite that, those generated images often suffer from low qualities due to the significant modality gap and include interfering information, e.g.