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Deep Learning for Facial Informatics

By Hsu, Gee-Sern Jison

Product Image: Deep Learning for Facial Informatics

Deep Learning for Facial Informatics

By Hsu, Gee-Sern Jison

0 - Default Title
Description
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.
Product details
Number of Pages:
102
Release Date:
2020-09-23
Publication Date:
2020-09-23
Publisher:
MDPI AG
Languages:
Original: English
ISBN10:
3039369644
ISBN13:
9783039369645
GPSR Manufacturer Reference:
[email protected]
Weight:
455 g
Height:
175 cm
Width:
250 cm
Thickness:
11 cm
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