Deep learning for visible-infrared cross-modality person re-identification: A comprehensive review
Visible-infrared cross-modality person re-identification (VI-ReID) is currently a prevalent but
challenging research topic in computer vision, since it can remedy the poor performance of …
challenging research topic in computer vision, since it can remedy the poor performance of …
RGB-T image analysis technology and application: A survey
Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …
years. In the past decade, it has received wide attention and made a lot of important …
Fmcnet: Feature-level modality compensation for visible-infrared person re-identification
Abstract For Visible-Infrared person Re-IDentification (VI-ReID), existing modality-specific
information compensation based models try to generate the images of missing modality from …
information compensation based models try to generate the images of missing modality from …
Revisiting modality-specific feature compensation for visible-infrared person re-identification
Although modality-specific feature compensation becomes a prevailing paradigm for Visible-
Infrared Person Re-Identification (VI-ReID) to learn features, it, performance-wise, is not …
Infrared Person Re-Identification (VI-ReID) to learn features, it, performance-wise, is not …
Dual-stream transformer with distribution alignment for visible-infrared person re-identification
Visible-infrared person re-identification (VI-ReID) aims to match the person images captured
by visible and infrared cameras and suffers from severe cross-modality discrepancy and …
by visible and infrared cameras and suffers from severe cross-modality discrepancy and …
Semantic consistent feature construction and multi-granularity feature learning for visible-infrared person re-identification
Y Wang, K Xu, Y Chai, Y Jiang, G Qi - The Visual Computer, 2024 - Springer
Abstract In the real-world 24/7 surveillance systems, the images collected during the day
and night are visible light images and infrared images, respectively. Infrared images lack …
and night are visible light images and infrared images, respectively. Infrared images lack …
TOP-ReID: Multi-spectral Object Re-Identification with Token Permutation
Multi-spectral object Re-identification (ReID) aims to retrieve specific objects by leveraging
complementary information from different image spectra. It delivers great advantages over …
complementary information from different image spectra. It delivers great advantages over …
Cross-modality disentanglement and shared feedback learning for infrared-visible person re-identification
K Li, X Wang, Y Liu, B Zhang, M Zhang - Knowledge-Based Systems, 2022 - Elsevier
Infrared-visible person re-identification (IV-ReID) has become a research hotspot in the field
of computer vision. Compared with traditional person re-identification, the IV-ReID task is still …
of computer vision. Compared with traditional person re-identification, the IV-ReID task is still …
Mmd-reid: A simple but effective solution for visible-thermal person reid
Learning modality invariant features is central to the problem of Visible-Thermal cross-modal
Person Reidentification (VT-ReID), where query and gallery images come from different …
Person Reidentification (VT-ReID), where query and gallery images come from different …
Feature aggregation via attention mechanism for visible-thermal person re-identification
B Wu, Y Feng, Y Sun, Y Ji - IEEE Signal Processing Letters, 2023 - ieeexplore.ieee.org
Visible-thermal person re-identification (VT-ReID) is an image retrieval task that aims at
matching the target pedestrian across the visible and thermal modalities. However, intra …
matching the target pedestrian across the visible and thermal modalities. However, intra …