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Macro-Micro Adversarial Network for Human Parsing
[article]
2018
arXiv
pre-print
In human parsing, the pixel-wise classification loss has drawbacks in its low-level local inconsistency and high-level semantic inconsistency. The introduction of the adversarial network tackles the two problems using a single discriminator. However, the two types of parsing inconsistency are generated by distinct mechanisms, so it is difficult for a single discriminator to solve them both. To address the two kinds of inconsistencies, this paper proposes the Macro-Micro Adversarial Net (MMAN).
arXiv:1807.08260v2
fatcat:snra4b73tfdblfyor5rebajiri