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...
Main Authors: | , , , , |
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Format: | Report |
Language: | unknown |
Published: |
arXiv
2022
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Subjects: | |
Online Access: | https://dx.doi.org/10.48550/arxiv.2203.14448 https://arxiv.org/abs/2203.14448 |