Single-Source Domain Generalization

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

26 shown of 26 papers with code (48 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Reducing Domain Gap by Reducing Style Bias
  25 Oct 2019 3 repositories listed
  Convolutional Neural Networks (CNNs) often fail to maintain their performance when they confront new test domains, which is known as the problem of domain shift.
• Avoiding Shortcuts: Enhancing Channel-Robust Specific Emitter Identification via Single-Source Domain Generalization
  20 Jan 2025 2 repositories listed
  Initially, we analyze the weak robustness of existing SEI methods from the perspective of the “shortcut learning” phenomenon in DL.
• SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
  20 Apr 2021 2 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  However, the performance of contrastive learning fundamentally depends on quality and quantity of negative data pairs.
• Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization
  29 May 2025 1 repository listed
  To address this limitation, we propose Pseudo Multi-source Domain Generalization (PMDG), a novel framework that enables the application of sophisticated MDG algorithms in more practical Single-source Domain…
• Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation
  17 Mar 2025 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
  Despite domain generalization (DG) has significantly addressed the performance degradation of pre-trained models caused by domain shifts, it often falls short in real-world deployment.
• Color-Quality Invariance for Robust Medical Image Segmentation
  11 Feb 2025 1 repository listed
  In this work, we propose two novel techniques to enhance generalization: dynamic color image normalization (DCIN) module and color-quality generalization (CQG) loss.
• Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal Mechanisms
  7 Nov 2024 1 repository listed
  Single-source domain generalization (SDG) aims to learn a model from a single source domain that can generalize well on unseen target domains.
• Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization
  29 Sep 2024 1 repository listed
  The method that achieves the best performance on the augmented validation is selected from the proposed family.
• Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation
  19 Sep 2024 1 repository listed
  In this paper, we propose a novel Domain-Adaptive Prompt framework for fine-tuning the Segment Anything Model (termed as DAPSAM) to address single-source domain generalization (SDG) in segmenting medical images.
• Structure-Aware Single-Source Generalization with Pixel-Level Disentanglement for Joint Optic Disc and Cup Segmentation
  10 Sep 2024 1 repository listed
  Deploying deep segmentation models in new medical centers poses a significant challenge due to statistical disparities between source and unknown domains.
• Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis
  7 Sep 2024 1 repository listed
  The proposed Random Amplitude Spectrum Synthesis for Single-Source Domain Generalization (RAS^4DG) is validated on 3D fetal brain images and 2D fundus photography, and achieves an improved DG segmentation performance…
• RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation
  2 May 2024 1 repository listed
  To tackle domain shifts in data-scarce medical scenarios, we propose a Random frequency filtering enabled Single-source Domain Generalization algorithm (RaffeSDG), which promises robust out-of-domain inference with…
• Language Guided Domain Generalized Medical Image Segmentation
  1 Apr 2024 1 repository listed
  Incorporating text features alongside visual features is a potential solution to enhance the model's understanding of the data, as it goes beyond pixel-level information to provide valuable context.
• MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation
  18 Mar 2024 1 repository listed
  The task of single-source domain generalization (SDG) in medical image segmentation is crucial due to frequent domain shifts in clinical image datasets.
• Leveraging SAM for Single-Source Domain Generalization in Medical Image Segmentation
  4 Jan 2024 1 repository listed
  Domain Generalization (DG) aims to reduce domain shifts between domains to achieve promising performance on the unseen target domain, which has been widely practiced in medical image segmentation.
• Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation
  18 Jul 2023 1 repository listed
  Consequently, domain generalization (DG) is developed to boost the performance of segmentation models on unseen domains.
• Adversarial Bayesian Augmentation for Single-Source Domain Generalization
  18 Jul 2023 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
  Generalizing to unseen image domains is a challenging problem primarily due to the lack of diverse training data, inaccessible target data, and the large domain shift that may exist in many real-world settings.
• Improved Test-Time Adaptation for Domain Generalization
  10 Apr 2023 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Generally, a TTT strategy hinges its performance on two main factors: selecting an appropriate auxiliary TTT task for updating and identifying reliable parameters to update during the test phase.
• Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation
  27 Nov 2022 1 repository listed
  Single-source domain generalization (SDG) in medical image segmentation is a challenging yet essential task as domain shifts are quite common among clinical image datasets.
• Cross-Domain Ensemble Distillation for Domain Generalization
  25 Nov 2022 1 repository listed
  Domain generalization is the task of learning models that generalize to unseen target domains.
• Improving Diversity with Adversarially Learned Transformations for Domain Generalization
  15 Jun 2022 1 repository listed
  To be successful in single source domain generalization, maximizing diversity of synthesized domains has emerged as one of the most effective strategies.
• Attention Consistency on Visual Corruptions for Single-Source Domain Generalization
  27 Apr 2022 1 repository listed Syntology ran 5 of 10 samples · 5 unverified
  Generalizing visual recognition models trained on a single distribution to unseen input distributions (i.
• Meta Distribution Alignment for Generalizable Person Re-Identification
  1 Jan 2022 1 repository listed
  Domain Generalizable (DG) person ReID is a challenging task which trains a model on source domains yet generalizes well on target domains.
• Geometric and Textural Augmentation for Domain Gap Reduction
  1 Jan 2022 1 repository listed
  Research has shown that convolutional neural networks for object recognition are vulnerable to changes in depiction because learning is biased towards the low-level statistics of texture patches.
• Causality-inspired Single-source Domain Generalization for Medical Image Segmentation
  24 Nov 2021 1 repository listed
  In this work, we investigate the single-source domain generalization problem: training a deep network that is robust to unseen domains, under the condition that training data is only available from one source domain,…
• Learning to Diversify for Single Domain Generalization
  26 Aug 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Domain generalization (DG) aims to generalize a model trained on multiple source (i.

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.