mlsanityData to 14 Oct 2026

Quality-Aware Network for Face Parsing

arXiv 2106.07368 ↗First posted 14 Jun 2021cs.CVcited by 3

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Abstract (arXiv)

This is a very short technical report, which introduces the solution of the Team BUPT-CASIA for Short-video Face Parsing Track of The 3rd Person in Context (PIC) Workshop and Challenge at CVPR 2021. Face parsing has recently attracted increasing interest due to its numerous application potentials. Generally speaking, it has a lot in common with human parsing, such as task setting, data characteristics, number of categories and so on. Therefore, this work applies state-of-the-art human parsing method to face parsing task to explore the similarities and differences between them. Our submission achieves 86.84% score and wins the 2nd place in the challenge.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 18 of its 20 references that are in the map. First posted on arXiv 14 Jun 2021.

Builds on

18 of 20 references.

References · 18

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6 more
  1. 2017Joint Multi-Person Pose Estimation and Semantic Part Segmentationcited by 41
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  6. 2021Quality-Aware Network for Human Parsingcited by 13

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Citing papers per year: 2023: 2; 2024: 1.

3 papers.

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  2. 2023What Decreases Editing Capability? Domain-Specific Hybrid Refinement for Improved GAN Inversioncited by 7
  3. 2023Image is All You Need to Empower Large-scale Diffusion Models for In-Domain Generationcited by 7