WHU-IIP dataset samples of face images in thermal domain (top) and
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Download scientific diagram | WHU-IIP dataset samples of face images in thermal domain (top) and visible domain (bottom) and existing GAN based methods. For WHU-IIP for thermal to real visual transformation, 552 training image pairs, and 240 testing image pairs are considered in the experiments. We use 403 images for training and 156 images for testing in paired manner for Tufts Face Thermal2RGB dataset. Tufts Face thermal2RGB dataset contains more diverse data than WHU-IIP to judge the generalization capability of the proposed model. It includes images of people having various races with different facial attributes, including some people who have sunglasses and spectacles. from publication: TVA-GAN: Attention Guided Generative Adversarial Network For Thermal To Visible Face Transformations | In the recent advancement of machine learning methods for realistic image generation and image translation, Generative Adversarial Networks (GANs) play a vital role. GAN generates novel samples that look indistinguishable from the real images. The image translation using a | Visibility, Transformation and Face | ResearchGate, the professional network for scientists.
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a) The luminance map. (b) The saturation map. (c) The gradient map.
![WHU-IIP dataset samples of face images in thermal domain (top) and](https://www.researchgate.net/publication/349573939/figure/fig1/AS:1022314036604930@1620750068546/Inspection-object-and-location-of-defect_Q320.jpg)
Inspection object and location of defect.
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As biometrics adoption surges, anti-spoofing is non-negotiable
![WHU-IIP dataset samples of face images in thermal domain (top) and](https://www.researchgate.net/publication/349573939/figure/fig4/AS:1022314036596737@1620750068621/Relationship-between-experimental-factors-and-defect-detection-rate.png)
Relationship between experimental factors and defect detection rate.
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Frontiers Leaf disease image retrieval with object detection and deep metric learning
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Measured dependence of the lifetime of the 4 F 3/2 level of the Nd 3 þ
![WHU-IIP dataset samples of face images in thermal domain (top) and](http://rsidea.whu.edu.cn/image/dataset/WHU-Hi/WHUHiFIG1.png)
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![WHU-IIP dataset samples of face images in thermal domain (top) and](https://www.researchgate.net/publication/220808626/figure/fig1/AS:394043809910792@1470958773498/The-sample-pairs-showing-different-colorfulness-as-result-of-only-different-purity.png)
The sample pairs showing different colorfulness as result of only
![WHU-IIP dataset samples of face images in thermal domain (top) and](https://www.researchgate.net/publication/323894144/figure/fig4/AS:606428381343744@1521595201170/Transmission-and-reception-data-and-commands-thru-port-PC-and-FPGA_Q320.jpg)
XRD pattern of the synthesized 1% Nd 3 þ :Y 3 Al 5 0 12 sample.
![WHU-IIP dataset samples of face images in thermal domain (top) and](https://www.researchgate.net/profile/Dawa-Masih/publication/282655483/figure/fig2/AS:967288635269123@1607630990889/Images-showing-the-illuminance-level-inside-the-ETFE-test-structure-under-overcasting-sky_Q320.jpg)
a) Use of model in conjunction with a heliodon. b) Use of model in
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