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 …
Dynamic dual-attentive aggregation learning for visible-infrared person re-identification
Visible-infrared person re-identification (VI-ReID) is a challenging cross-modality pedestrian
retrieval problem. Due to the large intra-class variations and cross-modality discrepancy with …
retrieval problem. Due to the large intra-class variations and cross-modality discrepancy with …
Parameter sharing exploration and hetero-center triplet loss for visible-thermal person re-identification
H Liu, X Tan, X Zhou - IEEE Transactions on Multimedia, 2020 - ieeexplore.ieee.org
This paper focuses on the visible-thermal cross-modality person re-identification (VT Re-ID)
task, whose goal is to match person images between the daytime visible modality and the …
task, whose goal is to match person images between the daytime visible modality and the …
Visible-infrared person re-identification via homogeneous augmented tri-modal learning
Matching person images between the daytime visible modality and night-time infrared
modality (VI-ReID) is a challenging cross-modality pedestrian retrieval problem. Existing …
modality (VI-ReID) is a challenging cross-modality pedestrian retrieval problem. Existing …
Grayscale enhancement colorization network for visible-infrared person re-identification
Visible-infrared person re-identification (VI-ReID) is an emerging and challenging cross-
modality image matching problem because of the explosive surveillance data in night-time …
modality image matching problem because of the explosive surveillance data in night-time …
Dynamic tri-level relation mining with attentive graph for visible infrared re-identification
Matching the daytime visible and nighttime infrared person images, namely visible infrared
person re-identification (VI-ReID), is a challenging cross-modality retrieval problem. Due to …
person re-identification (VI-ReID), is a challenging cross-modality retrieval problem. Due to …
[PDF][PDF] Survey on neural network architectures with deep learning
S Smys, JIZ Chen, S Shakya - Journal of Soft Computing Paradigm …, 2020 - academia.edu
In the present research era, machine learning is an important and unavoidable zone where
it provides better solutions to various domains. In particular deep learning is one of the cost …
it provides better solutions to various domains. In particular deep learning is one of the cost …
Modality-adaptive mixup and invariant decomposition for RGB-infrared person re-identification
RGB-infrared person re-identification is an emerging cross-modality re-identification task,
which is very challenging due to significant modality discrepancy between RGB and infrared …
which is very challenging due to significant modality discrepancy between RGB and infrared …
Cross-modality person re-identification via modality-aware collaborative ensemble learning
Visible thermal person re-identification (VT-ReID) is a challenging cross-modality pedestrian
retrieval problem due to the large intra-class variations and modality discrepancy across …
retrieval problem due to the large intra-class variations and modality discrepancy across …