Download scientific diagram | Generated a NIR images and b VIS images on our WHU VIS–NIR database. (From left to right: input VIS(NIR) images, true NIR(VIS) images from the same subject, images generated by FFE-CycleGAN, CycleGAN (Zhu et al., 2017), Pix2Pix (Isola et al., 2017) and DVG-Face (Fu et al., 2022)) from publication: Facial feature embedded CycleGAN for VIS–NIR translation | VIS-NIR face recognition remains a challenging task due to the distinction between spectral components of two modalities and insufficient paired training data. Inspired by the CycleGAN, this paper presents a method aiming to translate VIS face images into fake NIR images | Face Recognition, NIR and Proposals | ResearchGate, the professional network for scientists.
SOIL - Estimating soil fungal abundance and diversity at a
Enhancing Short-Wave Infrared Photosensitivity of SiGe
PDF) Kernel-based deterministic annealing algorithm for data
Generated a NIR images and b VIS images on our WHU VIS–NIR
Facial Feature Embedded CycleGAN for VIS-NIR Translation
Using infrared to improve face recognition of individuals with
SOIL - The influence of training sample size on the accuracy of
Agronomy, Free Full-Text
Hyperspectral imaging captures spatial and spectral data of the
SOIL - Miniaturised visible and near-infrared spectrometers for
/files/Articles/1043712/fpls-13
NIR technology for routine analysis of food and agricultural products
PDF) Kernel-based deterministic annealing algorithm for data
PDF) Kernel-based deterministic annealing algorithm for data