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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 …
Diverse embedding expansion network and low-light cross-modality benchmark for visible-infrared person re-identification
For the visible-infrared person re-identification (VIReID) task, one of the major challenges is
the modality gaps between visible (VIS) and infrared (IR) images. However, the training …
the modality gaps between visible (VIS) and infrared (IR) images. However, the training …
Shape-erased feature learning for visible-infrared person re-identification
Due to the modality gap between visible and infrared images with high visual ambiguity,
learning diverse modality-shared semantic concepts for visible-infrared person re …
learning diverse modality-shared semantic concepts for visible-infrared person re …
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 …
Towards grand unified representation learning for unsupervised visible-infrared person re-identification
Unsupervised learning visible-infrared person re-identification (USL-VI-ReID) is an
extremely important and challenging task, which can alleviate the issue of expensive cross …
extremely important and challenging task, which can alleviate the issue of expensive cross …
Dynamic prototype mask for occluded person re-identification
Although person re-identification has achieved an impressive improvement in recent years,
the common occlusion case caused by different obstacles is still an unsettled issue in real …
the common occlusion case caused by different obstacles is still an unsettled issue in real …
Not all pixels are matched: Dense contrastive learning for cross-modality person re-identification
Visible-Infrared Person Re-Identification (VI-ReID) has become an emerging task for night-
time surveillance systems. In order to reduce the cross-modality discrepancy, previous works …
time surveillance systems. In order to reduce the cross-modality discrepancy, previous works …
Person Re-Identification with RGB–D and RGB–IR Sensors: A Comprehensive Survey
Learning about appearance embedding is of great importance for a variety of different
computer-vision applications, which has prompted a surge in person re-identification (Re-ID) …
computer-vision applications, which has prompted a surge in person re-identification (Re-ID) …
Augmented dual-contrastive aggregation learning for unsupervised visible-infrared person re-identification
Visible infrared person re-identification (VI-ReID) aims at searching out the corresponding
infrared (visible) images from a gallery set captured by other spectrum cameras. Recent …
infrared (visible) images from a gallery set captured by other spectrum cameras. Recent …
Dual-adversarial representation disentanglement for visible infrared person re-identification
Heterogeneous pedestrian images are captured by visible and infrared cameras with
different spectrums, which play an important role in night-time video surveillance. However …
different spectrums, which play an important role in night-time video surveillance. However …