RBDF: Reciprocal Bidirectional Framework for Visible Infrared Person Reidentification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2022.3183395
Abstract: Visible infrared person reidentification (VI-REID) plays a critical role in night-time surveillance applications. Most methods attempt to reduce the cross-modality gap by extracting the modality-shared features. However, they neglect the distinct image-level discrepancies among heterogeneous… read more here.
Keywords: bidirectional framework; reciprocal bidirectional; infrared person; person reidentification ... See more keywords
Dual-Semantic Consistency Learning for Visible-Infrared Person Re-Identification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3224853
Abstract: Visible-Infrared person Re-Identification (VI-ReID) conducts comprehensive identity analysis on non-overlapping visible and infrared camera sets for intelligent surveillance systems, which face huge instance variations derived from modality discrepancy. Existing methods employ different kinds of network… read more here.
Keywords: consistency; semantics; infrared person; modality ... See more keywords
Joint Modal Alignment and Feature Enhancement for Visible-Infrared Person Re-Identification
Sign Up to like & getrecommendations! Published in 2023 at "Sensors"
DOI: 10.3390/s23114988
Abstract: Visible-infrared person re-identification aims to solve the matching problem between cross-camera and cross-modal person images. Existing methods strive to perform better cross-modal alignment, but often neglect the critical importance of feature enhancement for achieving better… read more here.
Keywords: feature enhancement; infrared person; feature; modal alignment ... See more keywords