Abstract: Highlights•We introduce the semi-supervised learning paradigm to address the bimodal SOD.•We construct a novel progressive expansion semi-supervised SOD architecture.•We propose an effective Holistic Multi-scale cross-modal Fusion module.•Our model achieves highly competitive performance compared to existing SOTA methods.
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