03166nam 2200637z- 450 991055772130332120210501(CKB)5400000000046111(oapen)https://directory.doabooks.org/handle/20.500.12854/69112(oapen)doab69112(EXLCZ)99540000000004611120202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierDeep Learning for Facial InformaticsBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 online resource (102 p.)3-03936-964-4 3-03936-965-2 Deep learning has been revolutionizing many fields in computer vision, and facial informatics is one of the major fields. Novel approaches and performance breakthroughs are often reported on existing benchmarks. As the performances on existing benchmarks are close to saturation, larger and more challenging databases are being made and considered as new benchmarks, further pushing the advancement of the technologies. Considering face recognition, for example, the VGG-Face2 and Dual-Agent GAN report nearly perfect and better-than-human performances on the IARPA Janus Benchmark A (IJB-A) benchmark. More challenging benchmarks, e.g., the IARPA Janus Benchmark A (IJB-C), QMUL-SurvFace and MegaFace, are accepted as new standards for evaluating the performance of a new approach. Such an evolution is also seen in other branches of face informatics. In this Special Issue, we have selected the papers that report the latest progresses made in the following topics: 1. Face liveness detection 2. Emotion classification 3. Facial age estimation 4. Facial landmark detection We are hoping that this Special Issue will be beneficial to all fields of facial informatics.History of engineering and technologybicssc2D attribute maps3D geometry dataage estimationcoarse-to-fineconvolutional neural networkconvolutional neural network (CNN)convolutional neural networksdeep learningdeep metric learningdepthemotion classificationexternal knowledgeface liveness detectionfacial images processingfacial key point detectionfacial landmarkingfused CNN featuregenerative adversarial networkimage classificationmerging networksmulti-task learningRGBthermal imageHistory of engineering and technologyHsu Gee-Sern Jisonedt1311357Timofte RaduedtHsu Gee-Sern JisonothTimofte RaduothBOOK9910557721303321Deep Learning for Facial Informatics3030285UNINA