Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Towards a unified middle modality learning for visible-infrared person re-identification
Visible-infrared person re-identification (VI-ReID) aims to search identities of pedestrians
across different spectra. In this task, one of the major challenges is the modality discrepancy …
across different spectra. In this task, one of the major challenges is the modality discrepancy …
How to handle sketch-abstraction in sketch-based image retrieval?
In this paper we propose a novel abstraction-aware sketch-based image retrieval framework
capable of handling sketch abstraction at varied levels. Prior works had mainly focused on …
capable of handling sketch abstraction at varied levels. Prior works had mainly focused on …
Dvg-face: Dual variational generation for heterogeneous face recognition
Heterogeneous face recognition (HFR) refers to matching cross-domain faces and plays a
crucial role in public security. Nevertheless, HFR is confronted with challenges from large …
crucial role in public security. Nevertheless, HFR is confronted with challenges from large …
Recent advances in infrared face analysis and recognition with deep learning
D Mahouachi, MA Akhloufi - AI, 2023 - mdpi.com
Besides the many advances made in the facial detection and recognition fields, face
recognition applied to visual images (VIS-FR) has received increasing interest in recent …
recognition applied to visual images (VIS-FR) has received increasing interest in recent …
Memory-modulated transformer network for heterogeneous face recognition
Heterogeneous face recognition (HFR) aims at matching face images across different
domains. It is challenging due to the severe domain discrepancies and overfitting caused by …
domains. It is challenging due to the severe domain discrepancies and overfitting caused by …
Dual variational generation for low shot heterogeneous face recognition
Abstract Heterogeneous Face Recognition (HFR) is a challenging issue because of the
large domain discrepancy and a lack of heterogeneous data. This paper considers HFR as a …
large domain discrepancy and a lack of heterogeneous data. This paper considers HFR as a …
Prepended domain transformer: Heterogeneous face recognition without bells and whistles
Heterogeneous Face Recognition (HFR) refers to matching face images captured in different
domains, such as thermal to visible images (VIS), sketches to visible images, near-infrared …
domains, such as thermal to visible images (VIS), sketches to visible images, near-infrared …
Pseudo label association and prototype-based invariant learning for semi-supervised nir-vis face recognition
Remarkable success of the existing Near-InfraRed and VISible (NIR-VIS) approaches owes
to sufficient labeled training data. However, collecting and tagging data from different …
to sufficient labeled training data. However, collecting and tagging data from different …
Dual face alignment learning network for NIR-VIS face recognition
As the most important topic in Heterogeneous Face Recognition (HFR), Near-InfraRed and
VISual (NIR-VIS) face recognition has attracted increasing research attentions owing to its …
VISual (NIR-VIS) face recognition has attracted increasing research attentions owing to its …
Relational deep feature learning for heterogeneous face recognition
Heterogeneous Face Recognition (HFR) is a task that matches faces across two different
domains such as visible light (VIS), near-infrared (NIR), or the sketch domain. Due to the …
domains such as visible light (VIS), near-infrared (NIR), or the sketch domain. Due to the …