Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing

This paper probes intrinsic factors behind typical failure cases (e.g. spatial inconsistency and boundary confusion) produced by the existing state-of-the-art method in face parsing. To tackle these problems, we propose a novel Decoupled Multi-task Learning with Cyclical Self-Regulation (DML-CSR) fo...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 4146 - 4155
Hlavní autori:	Zheng, Qingping, Deng, Jiankang, Zhu, Zheng, Li, Ying, Zafeiriou, Stefanos
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2022
Predmet:	Face and gestures; Deep learning architectures and techniques; Machine learning; Segmentation Face recognition grouping and shape analysis; Self-& semi-& meta- & unsupervised learning Image edge detection Learning systems Multitasking Noise measurement Semantics Training
ISSN:	1063-6919
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