Recent advances in the application of deep learning methods to forestry
Y Wang, W Zhang, R Gao, Z Jin, X Wang - Wood science and technology, 2021 - Springer
This paper provides an overview and analysis of the basic theory of deep learning (DL), and
specifically, a number of important algorithms were compared and analyzed. The article …
specifically, a number of important algorithms were compared and analyzed. The article …
Multispectral facial recognition: a review
LL Chambino, JS Silva, A Bernardino - IEEE Access, 2020 - ieeexplore.ieee.org
Multispectral images are images with more than one channel acquired in different bands or
spectral ranges of the electromagnetic spectrum. Each one has specific details that can be …
spectral ranges of the electromagnetic spectrum. Each one has specific details that can be …
Snow mask guided adaptive residual network for image snow removal
Image restoration under severe weather is a challenging task. Most of the past works
focused on removing rain and haze phenomena in images. However, snow is also an …
focused on removing rain and haze phenomena in images. However, snow is also an …
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 …
Orthogonal modality disentanglement and representation alignment network for NIR-VIS face recognition
Near-infrared and visual (NIR-VIS) face matching, as the most typical task in Heterogeneous
Face Recognition (HFR), has attracted increasing attention in recent years. However, due to …
Face Recognition (HFR), has attracted increasing attention in recent years. However, due to …
Illumination invariant face recognition
DH Liu, KM Lam, LS Shen - Pattern Recognition, 2005 - Elsevier
The appearance of a face will vary drastically when the illumination changes. Variations in
lighting conditions make face recognition an even more challenging and difficult task. In this …
lighting conditions make face recognition an even more challenging and difficult task. In this …
Domain-private factor detachment network for NIR-VIS face recognition
Near-InfraRed and VISual (NIR-VIS) face matching, as one of the most representative tasks
in Heterogeneous Face Recognition (HFR), aims at retrieving a face image across different …
in Heterogeneous Face Recognition (HFR), aims at retrieving a face image across different …
Towards lightweight pixel-wise hallucination for heterogeneous face recognition
Cross-spectral face hallucination is an intuitive way to mitigate the modality discrepancy in
Heterogeneous Face Recognition (HFR). However, due to imaging differences, the …
Heterogeneous Face Recognition (HFR). However, due to imaging differences, the …
Dual adversarial disentanglement and deep representation decorrelation for NIR-VIS face recognition
The task of near-infrared and visual (NIR-VIS) face recognition refers to matching face data
from different modalities, which has broad application prospects in areas such as multimedia …
from different modalities, which has broad application prospects in areas such as multimedia …
Adversarial disentanglement spectrum variations and cross-modality attention networks for NIR-VIS face recognition
Near-infrared and visual (NIR-VIS) matching task refers to the face recognition between the
two images of different modalities, which remains a challenging task in the field of machine …
two images of different modalities, which remains a challenging task in the field of machine …