mlsanityData to 14 Oct 2026

Domain Generalization with Domain-Specific Aggregation Modules

arXiv 1809.10966 ↗First posted 28 Sep 2018cs.CVcited by 61

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Abstract (arXiv)

Visual recognition systems are meant to work in the real world. For this to happen, they must work robustly in any visual domain, and not only on the data used during training. Within this context, a very realistic scenario deals with domain generalization, i.e. the ability to build visual recognition algorithms able to work robustly in several visual domains, without having access to any information about target data statistic. This paper contributes to this research thread, proposing a deep architecture that maintains separated the information about the available source domains data while at the same time leveraging over generic perceptual information. We achieve this by introducing domain-specific aggregation modules that through an aggregation layer strategy are able to merge generic and specific information in an effective manner. Experiments on two different benchmark databases show the power of our approach, reaching the new state of the art in domain generalization.

Key facts. Cited by 61 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Sep 2018.

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Citing papers per year: 2021: 29; 2022: 14; 2023: 11; 2024: 5; 2025: 2.

61 papers.

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  1. 2021Generalizing to Unseen Domains: A Survey on Domain Generalizationcited by 766
  2. 2021Domain Generalization: A Surveycited by 764
  3. 2021Towards Out-Of-Distribution Generalization: A Surveycited by 436
  4. 2021SelfReg: Self-supervised Contrastive Regularization for Domain Generalizationcited by 189
  5. 2021Deep Stable Learning for Out-Of-Distribution Generalizationcited by 153
  6. 2021Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalizationcited by 83
  7. 2021Generalizable Person Re-identification with Relevance-aware Mixture of Expertscited by 77
  8. 2021Domain Invariant Representation Learning with Domain Density Transformationscited by 53
  9. 2022Deep Frequency Filtering for Domain Generalizationcited by 43
  10. 2023BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizabilitycited by 42
  11. 2021Federated Learning with Domain Generalizationcited by 41
  12. 2021Feature Stylization and Domain-aware Contrastive Learning for Domain Generalizationcited by 40
38 more
  1. 2021Domain Generalization via Inference-time Label-Preserving Target Projectionscited by 35
  2. 2021Feature-based Style Randomization for Domain Generalizationcited by 34
  3. 2022Domain Generalization by Learning and Removing Domain-specific Featurescited by 28
  4. 2021A Bit More Bayesian: Domain-Invariant Learning with Uncertaintycited by 27
  5. 2021Rethinking Domain Generalization Baselinescited by 26
  6. 2021Robust Representation Learning via Perceptual Similarity Metricscited by 23
  7. 2023Adversarial Bayesian Augmentation for Single-Source Domain Generalizationcited by 22
  8. 2021Neuron Coverage-Guided Domain Generalizationcited by 19
  9. 2021Domain-Specific Bias Filtering for Single Labeled Domain Generalizationcited by 18
  10. 2022Intra-Source Style Augmentation for Improved Domain Generalizationcited by 17
  11. 2023Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentationcited by 13
  12. 2021Achieving Domain Generalization in Underwater Object Detection by Domain Mixup and Contrastive Learningcited by 12
  13. 2021Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Setcited by 12
  14. 2022Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalizationcited by 12
  15. 2023Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issuescited by 12
  16. 2021Confounder Identification-free Causal Visual Feature Learningcited by 10
  17. 2022Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-Identificationcited by 10
  18. 2022Dynamic Domain Generalizationcited by 9
  19. 2024Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysiscited by 9
  20. 2022HMOE: Hypernetwork-based Mixture of Experts for Domain Generalizationcited by 8
  21. 2023Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalizationcited by 8
  22. 2021Robust Domain-Free Domain Generalization with Class-aware Alignmentcited by 6
  23. 2025A Language Anchor-Guided Method for Robust Noisy Domain Generalizationcited by 5
  24. 2021Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalizationcited by 4
  25. 2024LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Viewscited by 4
  26. 2022Adaptive Network Combination for Single-Image Reflection Removal: A Domain Generalization Perspectivecited by 3
  27. 2021PLACE dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain Generalizationcited by 2
  28. 2022Domain Decorrelation with Potential Energy Rankingcited by 2
  29. 2022Adversarial and Random Transformations for Robust Domain Adaptation and Generalizationcited by 2
  30. 2023A2XP: Towards Private Domain Generalizationcited by 2
  31. 2023ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater Environmentscited by 2
  32. 2024Domain Adversarial Active Learning for Domain Generalization Classificationcited by 2
  33. 2024Transitive Vision-Language Prompt Learning for Domain Generalizationcited by 2
  34. 2024TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correctioncited by 2
  35. 2021Explainability-aided Domain Generalization for Image Classificationcited by 1
  36. 2021Discovering Spatial Relationships by Transformers for Domain Generalizationcited by 1
  37. 2021Dynamically Decoding Source Domain Knowledge for Domain Generalizationcited by 1
  38. 2021Calibrated Feature Decomposition for Generalizable Person Re-Identificationcited by 1

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