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June 2, 20240 citationsOpen Access

Diffusion Features to Bridge Domain Gap for Semantic Segmentation

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YJYuxiang JiBHBoyong HeCQChenyuan Qu

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Ji et al. (2024) studied this question.

synapsesocial.com/papers/68e669a3b6db6435875f553ehttps://doi.org/10.48550/arxiv.2406.00777
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1MaskDiffusion: Exploiting Pre-trained Diffusion Models for Semantic Segmentation2024
  2. 2Towards Semantically Faithful Diffusion Representation for Generalizable Retinal Image Segmentation2025 · 1 citations
  3. 3P-MSDiff: Parallel Multi-Scale Diffusion for Remote Sensing Image Segmentation2024
  4. 4Seg4Diff: Unveiling Open-Vocabulary Segmentation in Text-to-Image Diffusion Transformers2025
  5. 5FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models2024