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portada Deep Learning for Facial Informatics
Type
Physical Book
Publisher
Author
Language
English
Pages
102
Format
Hardcover
Dimensions
24.4x17x1.1 cm
Weight
0.43 kg.
ISBN13
9783039369645
Categories

Deep Learning for Facial Informatics

Hsu, Gee-Sern Jison ; Timofte, Radu (Author) · Mdpi AG · Hardcover

Deep Learning for Facial Informatics - Hsu, Gee-Sern Jison ; Timofte, Radu

New Book Imported to Taiwan
Delivery: 23 Sep - 01 Oct Shipping: 4 to 5 business days.
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NT$ 1,522

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Synopsis "Deep Learning for Facial Informatics"

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.

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