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 …
Partmix: Regularization strategy to learn part discovery for visible-infrared person re-identification
Modern data augmentation using a mixture-based technique can regularize the models from
overfitting to the training data in various computer vision applications, but a proper data …
overfitting to the training data in various computer vision applications, but a proper data …
Learning progressive modality-shared transformers for effective visible-infrared person re-identification
Abstract Visible-Infrared Person Re-Identification (VI-ReID) is a challenging retrieval task
under complex modality changes. Existing methods usually focus on extracting …
under complex modality changes. Existing methods usually focus on extracting …
Dual pseudo-labels interactive self-training for semi-supervised visible-infrared person re-identification
Visible-infrared person re-identification (VI-ReID) aims to match a specific person from a
gallery of images captured from non-overlapping visible and infrared cameras. Most works …
gallery of images captured from non-overlapping visible and infrared cameras. Most works …
Visible-infrared person re-identification via semantic alignment and affinity inference
Visible-infrared person re-identification (VI-ReID) focuses on matching the pedestrian
images of the same identity captured by different modality cameras. The part-based methods …
images of the same identity captured by different modality cameras. The part-based methods …
Multi-memory matching for unsupervised visible-infrared person re-identification
Unsupervised visible-infrared person re-identification (USL-VI-ReID) is a promising yet
highly challenging retrieval task. The key challenges in USL-VI-ReID are to accurately …
highly challenging retrieval task. The key challenges in USL-VI-ReID are to accurately …
Cross-modality hierarchical clustering and refinement for unsupervised visible-infrared person re-identification
Visible-infrared person re-identification (VI-ReID) is a challenging cross-modality image
retrieval task. Compared to visible modality person re-identification that handles only the …
retrieval task. Compared to visible modality person re-identification that handles only the …
Correlation-guided semantic consistency network for visible-infrared person re-identification
Visible-infrared person re-identification (VI-ReID) has raised more attention in night-time
surveillance applications due to the struggle to capture valid appearance information under …
surveillance applications due to the struggle to capture valid appearance information under …
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 …
Cross-modality earth mover's distance for visible thermal person re-identification
Visible thermal person re-identification (VT-ReID) suffers from inter-modality discrepancy
and intra-identity variations. Distribution alignment is a popular solution for VT-ReID …
and intra-identity variations. Distribution alignment is a popular solution for VT-ReID …