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Mask-Guided Deformation Adaptive Network for Human Parsing

Authors:

Shengfeng HeAuthors Info & Claims

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 18, Issue 1

Article No.: 11, Pages 1 - 20

https://doi.org/10.1145/3467889

Published: 14 March 2022 Publication History

Abstract

Due to the challenges of densely compacted body parts, nonrigid clothing items, and severe overlap in crowd scenes, human parsing needs to focus more on multilevel feature representations compared to general scene parsing tasks. Based on this observation, we propose to introduce the auxiliary task of human mask and edge detection to facilitate human parsing. Different from human parsing, which exploits the discriminative features of each category, human mask and edge detection emphasizes the boundaries of semantic parsing regions and the difference between foreground humans and background clutter, which benefits the parsing predictions of crowd scenes and small human parts. Specifically, we extract human mask and edge labels from the human parsing annotations and train a shared encoder with three independent decoders for the three mutually beneficial tasks. Furthermore, the decoder feature maps of the human mask prediction branch are further exploited as attention maps, indicating human regions to facilitate the decoding process of human parsing and human edge detection. In addition to these auxiliary tasks, we further alleviate the problem of deformed clothing items under various human poses by tracking the deformation patterns with the deformable convolution. Extensive experiments show that the proposed method can achieve superior performance against state-of-the-art methods on both single and multiple human parsing datasets. Codes and trained models are available https://github.com/ViktorLiang/MGDAN.

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Cited By

Wu TZhu RWan S(2024)Semantic Map Guided Identity Transfer GAN for Person Re-identificationACM Transactions on Multimedia Computing, Communications, and Applications10.1145/363135520:11(1-20)Online publication date: 12-Sep-2024
https://dl.acm.org/doi/10.1145/3631355
Chen DKong DLi JWang SYin B(2023)ADOSMNet: a novel visual affordance detection network with object shape mask guided feature encodersMultimedia Tools and Applications10.1007/s11042-023-16898-283:11(31629-31653)Online publication date: 18-Sep-2023
https://doi.org/10.1007/s11042-023-16898-2

Index Terms

Mask-Guided Deformation Adaptive Network for Human Parsing
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Image segmentation
      2. Computer vision representations
        Appearance and texture representations

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Information & Contributors

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Published In

cover image ACM Transactions on Multimedia Computing, Communications, and Applications

ACM Transactions on Multimedia Computing, Communications, and Applications Volume 18, Issue 1

January 2022

517 pages

ISSN:1551-6857

EISSN:1551-6865

DOI:10.1145/3505205

Editor:
Alberto Del Bimbo
University of Firenze, Italy

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 March 2022

Accepted: 01 May 2021

Revised: 01 March 2021

Received: 01 August 2020

Published in TOMM Volume 18, Issue 1

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National Natural Science Foundation of China
Guangdong International Science and Technology Cooperation Project
Guangdong Natural Science Foundation
Guangzhou Basic and Applied Research Project
Fundamental Research Funds for the Central Universities
Social Science Research Base of Guangdong Province-Research Center of Network Civilization in New Era of SCUT
CCF-Tencent Open Research fund

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Cited By

Wu TZhu RWan S(2024)Semantic Map Guided Identity Transfer GAN for Person Re-identificationACM Transactions on Multimedia Computing, Communications, and Applications10.1145/363135520:11(1-20)Online publication date: 12-Sep-2024
https://dl.acm.org/doi/10.1145/3631355
Chen DKong DLi JWang SYin B(2023)ADOSMNet: a novel visual affordance detection network with object shape mask guided feature encodersMultimedia Tools and Applications10.1007/s11042-023-16898-283:11(31629-31653)Online publication date: 18-Sep-2023
https://doi.org/10.1007/s11042-023-16898-2

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