A Pose-Aware Global Representation Network for Human Parsing

Author:

Zhou Yanghong1ORCID,Mok P. Y.1ORCID

Affiliation:

1. School of Fashion and Textiles, The Hong Kong Polytechnic University, Pokfulam, Hong Kong

Funder

Research Grants Council of the Hong Kong Special Administrative Region, China

The Hong Kong Polytechnic University

Laboratory for Artificial Intelligence in Design, Innovation and Technology Fund, Hong Kong Special Administrative Region

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Reference76 articles.

1. ACFNet: Attentional Class Feature Network for Semantic Segmentation

2. Trusted Guidance Pyramid Network for Human Parsing

3. Distance guided channel weighting for semantic segmentation;liu;arXiv 2004 12679,2020

4. Deep Human Parsing with Active Template Regression

5. Semi-supervised video object segmentation via learning object-aware global-local correspondence;fan;IEEE Trans Circuits Syst Video Technol,2021

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. From Simple to Complex Scenes: Learning Robust Feature Representations for Accurate Human Parsing;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-08

2. WNet: A dual‐encoded multi‐human parsing network;IET Image Processing;2024-07-10

3. Enhancing human parsing with region‐level learning;IET Computer Vision;2023-07-05

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