research-article

Multi-Content Interaction Network for Few-Shot Segmentation

Authors: Hao Chen, Yunlong Yu, Yonghan Dong, Zheming Lu, Yingming Li, Zhongfei ZhangAuthors Info & Claims

ACM Transactions on Multimedia Computing, Communications and Applications, Volume 20, Issue 6

Article No.: 177, Pages 1 - 20

https://doi.org/10.1145/3643850

Published: 08 March 2024 Publication History

Abstract

Few-Shot Segmentation (FSS) poses significant challenges due to limited support images and large intra-class appearance discrepancies. Most existing approaches focus on aligning the support-query correlations from the same layer of the frozen backbone while neglecting the bias between different tasks and different layers. In this article, we propose a Multi-Content Interaction Network (MCINet) to remedy these issues by fully exploiting and interacting with the different contextual information contained in distinct branches. Specifically, MCINet improves FSS from three perspectives: (1) boosting the query representations through incorporating the independent information from another learnable branch into the features from the frozen backbone, (2) enhancing the support-query correlations by exploiting both the same-layer and adjacent-layer features, and (3) refining the predicted results with a multi-scale mask prediction strategy. Experiments on three benchmarks demonstrate that our approach reaches state-of-the-art performances and outperforms the best competitors with many desirable advantages, especially on the challenging COCO dataset. Code will be released on GitHub (https://github.com/chenhao-zju/mcinet).

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Cited By

Wen HSong XChen XWei YNie LChua THui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image RetrievalProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657727(229-239)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657727
Chen HDong YLu ZYu YHan J(2024)Pixel Matching Network for Cross-Domain Few-Shot Segmentation2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV57701.2024.00102(967-976)Online publication date: 3-Jan-2024
https://doi.org/10.1109/WACV57701.2024.00102
Chen HLu ZZheng Y(2023)Multi-Similarity Enhancement Network for Few-Shot SegmentationIEEE Access10.1109/ACCESS.2023.329589311(73521-73530)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3295893

Index Terms

Multi-Content Interaction Network for Few-Shot Segmentation
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Image segmentation

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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 20, Issue 6

June 2024

715 pages

ISSN:1551-6857

EISSN:1551-6865

DOI:10.1145/3613638

Editor:
Abdulmotaleb El Saddik
Mohamed Bin Zayed University of Artificial Intelligence, UAE and University of Ottawa, Canada

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New York, NY, United States

Publication History

Published: 08 March 2024

Online AM: 03 February 2024

Accepted: 25 January 2024

Revised: 25 November 2023

Received: 06 July 2023

Published in TOMM Volume 20, Issue 6

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Key R&D Program of Zhejiang Province, China
NSFC
Science and Technology Innovation 2025 Major Project of Ningbo, China

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Cited By

Wen HSong XChen XWei YNie LChua THui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image RetrievalProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657727(229-239)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657727
Chen HDong YLu ZYu YHan J(2024)Pixel Matching Network for Cross-Domain Few-Shot Segmentation2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV57701.2024.00102(967-976)Online publication date: 3-Jan-2024
https://doi.org/10.1109/WACV57701.2024.00102
Chen HLu ZZheng Y(2023)Multi-Similarity Enhancement Network for Few-Shot SegmentationIEEE Access10.1109/ACCESS.2023.329589311(73521-73530)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3295893

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