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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 3

Zero-shot referring image segmentation based on fine-tuning image-text model CLIP

Liu Jie1,2
Qiao Wensheng1
Zhu Peipei1
Lei Yinjie3
Wang Zixuan3
1. Southwest China Institute of Electronic Technology, Chengdu 610036, China
2. School of Resources & Environment, University of Electronic Science & Technology of China, Chengdu 611731, China
3. School of Electronics & Information Engineering, Sichuan University, Chengdu 610065, China
DOI: 10.19734/j.issn.1001-3695.2024.06.0254

Abstract

In recent years, large vision-language models represented by CLIP have demonstrated excellent zero-shot inference capabilities in numerous downstream scenarios. However, transferring the CLIP model to reference image segmentation, which requires pixel-level image-text understanding, is very challenging. The fundamental reason lies in the fact that CLIP focuses on the overall alignment between images and text while discarding the spatial position information of pixels in the image. In view of this, this paper proposes a single-stage, fine-grained, multi-level zero-shot reference image segmentation model called PixelCLIP based on the CLIP model. Specifically, this paper adopts multi-scale image feature fusion, which not only aggregates pixel-level image features extracted by different visual encoders in CLIP but also considers the inherent overall semantic features of images in CLIP. In terms of textual information representation, this paper relies not only on CLIP-BERT to maintain object category information but also introduces the LLaVA large language model to further inject contextual background knowledge. Ultimately, PixelCLIP achieves pixel-level reference image segmentation by realizing fine-grained cross-modal associative matching. Extensive experiments indicate the validity of PixelCLIP.

Foundation Support

国家自然科学基金资助项目(62303433)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.06.0254
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 3

Publish History

[2024-10-20] Accepted Paper

Cite This Article

刘杰, 乔文昇, 朱佩佩, 等. 基于图像-文本大模型CLIP微调的零样本参考图像分割 [J]. 计算机应用研究, 2025, 42 (3). (2024-12-16). https://doi.org/10.19734/j.issn.1001-3695.2024.06.0254. (Liu Jie, Qiao Wensheng, Zhu Peipei, et al. Zero-shot referring image segmentation based on fine-tuning image-text model CLIP [J]. Application Research of Computers, 2025, 42 (3). (2024-12-16). https://doi.org/10.19734/j.issn.1001-3695.2024.06.0254. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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