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Article | Open Access

Bilateral Reference for High-Resolution Dichotomous Image Segmentation

Peng Zheng1,2, Dehong Gao3, Deng-Ping Fan1( ), Li Liu4, Jorma Laaksonen5, Wanli Ouyang2, Nicu Sebe6
College of Computer Science, Nankai University, Tianjin 300350, China
Shanghai AI Laboratory, Shanghai 200232, China
School of Cybersecurity, Northwestern Polytechnical University, Xi’an 710072, China
College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
Department of Computer Science, Aalto University, Espoo FI-02150, Finland
Department of Information Engineering and Computer Science, University of Trento, Trento I-38122, Italy
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Abstract

We introduce a novel bilateral reference framework (BiRefNet) for high-resolution dichotomous image segmentation (DIS). It comprises two essential components: the localization module (LM) and the reconstruction module (RM) with our proposed bilateral reference (BiRef). LM aids in object localization using global semantic information. Within the RM, we utilize BiRef for the reconstruction process, where hierarchical patches of images provide the source reference, and gradient maps serve as the target reference. These components collaborate to generate the final predicted maps. We also introduce auxiliary gradient supervision to enhance the focus on regions with finer details. In addition, we outline practical training strategies tailored for DIS to improve map quality and the training process. To validate the general applicability of our approach, we conduct extensive experiments on four tasks to evince that BiRefNet exhibits remarkable performance, outperforming task-specific cutting-edge methods across all benchmarks. Our codes are publicly available at https://github.com/ZhengPeng7/BiRefNet.

Keywords

salient object detectioncamouflaged object detectiondichotomous image segmentationbilateral referencehigh-resolution segmentation

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CAAI Artificial Intelligence Research
Volume 3,
2024
Article number: 9150038
DOI: 10.26599/AIR.2024.9150038
Cite this article:
Zheng P, Gao D, Fan D-P, et al. Bilateral Reference for High-Resolution Dichotomous Image Segmentation. CAAI Artificial Intelligence Research, 2024, 3: 9150038. https://doi.org/10.26599/AIR.2024.9150038

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Received: 19 April 2024
Revised: 09 July 2024
Accepted: 23 July 2024
Published: 22 August 2024
© The author(s) 2024.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
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