S3OD: Towards Generalizable Salient Object Detection with Synthetic Data
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Abstract (arXiv)
Salient object detection exemplifies data-bounded tasks where expensive pixel-precise annotations force separate model training for related subtasks like DIS and HR-SOD. We present a method that dramatically improves generalization through large-scale synthetic data generation and ambiguity-aware architecture. We introduce S3OD, a dataset of over 139,000 high-resolution images created through our multi-modal diffusion pipeline that extracts labels from diffusion and DINO-v3 features. The iterative generation framework prioritizes challenging categories based on model performance. We propose a streamlined multi-mask decoder that handles the inherent ambiguity in salient object detection by predicting multiple valid interpretations. Models trained only on synthetic data achieve 20-50% error reduction in cross-dataset generalization, while fine-tuned versions reach state-of-the-art performance across DIS and HR-SOD benchmarks.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 49 of its 76 references that are in the map. First posted on arXiv 24 Oct 2025.
Builds on
49 of 76 references.
References · 49
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37 more
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Built on by
Citing papers per year: 2025: 1; 2026: 5.
6 papers.
- 2025RealCamo: Boosting Real Camouflage Synthesis with Layout Controls and Textual-Visual Guidancecited by 1
- 2026Beyond Pixel Overlap: A Framework for Decomposing Segmentation Evaluation Metricscited by 1
- 2026PoseDreamer: Scalable and Photorealistic Human Data Generation Pipeline with Diffusion Modelscited by 0
- 2026MMDiff: Extending Diffusion Transformers for Multi-Modal Generationcited by 0
- 2026FLAT: Feedforward Latent Triangle Splatting for Geometrically Accurate Scene Generationcited by 0
- 2026Level-of-Token Diffusioncited by 0
- 2026Level-of-Token Diffusion5 Oct 2026
- 2026Beyond Pixel Overlap: A Framework for Decomposing Segmentation Evaluation Metrics1 Jul 2026
- 2026FLAT: Feedforward Latent Triangle Splatting for Geometrically Accurate Scene Generation23 Jun 2026
- 2026MMDiff: Extending Diffusion Transformers for Multi-Modal Generation15 Jun 2026
- 2026PoseDreamer: Scalable and Photorealistic Human Data Generation Pipeline with Diffusion Models30 Mar 2026
- 2025RealCamo: Boosting Real Camouflage Synthesis with Layout Controls and Textual-Visual Guidance28 Dec 2025