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Giqa: Generated image quality assessment
Generative adversarial networks (GANs) achieve impressive results today, but not all
generated images are perfect. A number of quantitative criteria have recently emerged for …
generated images are perfect. A number of quantitative criteria have recently emerged for …
Deep facial age estimation using conditional multitask learning with weak label expansion
Accurate age estimation from a facial image is quite challenging, since physical age and
apparent age can be quite different, and this difference is dependent on gender, ethnicity …
apparent age can be quite different, and this difference is dependent on gender, ethnicity …
Image inpainting for random areas using dense context features
Deep convolutional neural networks (DCNN) have demonstrated their potential to generate
reasonable results in image inpainting. Some existing method uses convolution to generate …
reasonable results in image inpainting. Some existing method uses convolution to generate …
Learning based no-reference metric for assessing quality of experience of stereoscopic images
Human's perception plays a very important role on image assessment, especially for
stereoscopic images. In general, viewing stereoscopic 3D images will cause visual fatigue …
stereoscopic images. In general, viewing stereoscopic 3D images will cause visual fatigue …
Fusion of triple attention to residual in residual dense block to attention based cnn for facial expression recognition
In recent years, facial expression recognition has always been a popular research topic.
Since the variation among human facial expressions is huge, facial expression recognition …
Since the variation among human facial expressions is huge, facial expression recognition …
Assessing a single image in reference-guided image synthesis
Assessing the performance of Generative Adversarial Networks (GANs) has been an
important topic due to its practical significance. Although several evaluation metrics have …
important topic due to its practical significance. Although several evaluation metrics have …
Age estimation via fusion of depthwise separable convolutional neural networks
In this paper, a deep Convolutional Neural Network CNN based system, called Depthwise
Separable Convolutional Neural Network (DSCNN) fusion system, for human facial age …
Separable Convolutional Neural Network (DSCNN) fusion system, for human facial age …