mlsanityData to 7 Oct 2026

CLIP the Gap: A Single Domain Generalization Approach for Object Detection

arXiv 2301.05499 ↗First posted 13 Jan 2023cs.CVcited by 87

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Abstract (arXiv)

Single Domain Generalization (SDG) tackles the problem of training a model on a single source domain so that it generalizes to any unseen target domain. While this has been well studied for image classification, the literature on SDG object detection remains almost non-existent. To address the challenges of simultaneously learning robust object localization and representation, we propose to leverage a pre-trained vision-language model to introduce semantic domain concepts via textual prompts. We achieve this via a semantic augmentation strategy acting on the features extracted by the detector backbone, as well as a text-based classification loss. Our experiments evidence the benefits of our approach, outperforming by 10% the only existing SDG object detection method, Single-DGOD [49], on their own diverse weather-driving benchmark.

Key facts. Cited by 87 papers in the map (data through 7 Oct 2026). Builds on 47 of its 66 references that are in the map. First posted on arXiv 13 Jan 2023.

Builds on

47 of 66 references.

References · 47

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
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  3. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
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  6. 2017Mask R-CNNcited by 7,259
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35 more
  1. 2018BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learningcited by 1,282
  2. 2021Grounded Language-Image Pre-trainingcited by 1,147
  3. 2020In Search of Lost Domain Generalizationcited by 1,042
  4. 2021Open-vocabulary Object Detection via Vision and Language Knowledge Distillationcited by 903
  5. 2017Learning to Generalize: Meta-Learning for Domain Generalizationcited by 762
  6. 2020Contrastive Learning of Medical Visual Representations from Paired Images and Textcited by 636
  7. 2018Generalizing to Unseen Domains via Adversarial Data Augmentationcited by 451
  8. 2019Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-trainingcited by 451
  9. 2018Domain Adaptive Faster R-CNN for Object Detection in the Wildcited by 442
  10. 2020Open-Vocabulary Object Detection Using Captionscited by 427
  11. 2019Domain Generalization via Model-Agnostic Learning of Semantic Featurescited by 405
  12. 2017Semantic Foggy Scene Understanding with Synthetic Datacited by 401
  13. 2018Two at Once: Enhancing Learning and Generalization Capacities via IBN-Netcited by 361
  14. 2020VirTex: Learning Visual Representations from Textual Annotationscited by 338
  15. 2020Learning to Learn Single Domain Generalizationcited by 295
  16. 2022GLIPv2: Unifying Localization and Vision-Language Understandingcited by 275
  17. 2018Strong-Weak Distribution Alignment for Adaptive Object Detectioncited by 269
  18. 2019Episodic Training for Domain Generalizationcited by 245
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  20. 2021RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whiteningcited by 213
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  22. 2021Learning to Diversify for Single Domain Generalizationcited by 170
  23. 2020Unbiased Mean Teacher for Cross-domain Object Detectioncited by 158
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  25. 2020Harmonizing Transferability and Discriminability for Adapting Object Detectorscited by 125
  26. 2021Cross-Domain Adaptive Teacher for Object Detectioncited by 125
  27. 2022Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalizationcited by 122
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 10; 2024: 30; 2025: 34; 2026: 13.

87 papers.

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  1. 2023Text-image Alignment for Diffusion-based Perceptioncited by 42
  2. 2025Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignmentcited by 41
  3. 2024Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignmentcited by 29
  4. 2024Unbiased Faster R-CNN for Single-source Domain Generalized Object Detectioncited by 29
  5. 2023DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalizationcited by 24
  6. 2024Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalizationcited by 24
  7. 2025Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Modelscited by 23
  8. 2024SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learningcited by 22
  9. 2023Object-Aware Domain Generalization for Object Detectioncited by 21
  10. 2023Strong but simple: A Baseline for Domain Generalized Dense Perception by CLIP-based Transfer Learningcited by 20
  11. 2023Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibrationcited by 19
  12. 2023Learning Domain-Aware Detection Head with Prompt Tuningcited by 18
38 more
  1. 2023Boosting Object Detection with Zero-Shot Day-Night Domain Adaptationcited by 17
  2. 2024G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detectioncited by 17
  3. 2024Single Domain Generalization for Crowd Countingcited by 17
  4. 2024CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Modelcited by 13
  5. 2024CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuningcited by 13
  6. 2024Unified Domain Generalization and Adaptation for Multi-View 3D Object Detectioncited by 13
  7. 2024V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditionscited by 12
  8. 2025Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Modelscited by 12
  9. 2024PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detectioncited by 11
  10. 2024Radar and Camera Fusion for Object Detection and Tracking: A Comprehensive Surveycited by 9
  11. 2024LG-Gaze: Learning Geometry-aware Continuous Prompts for Language-Guided Gaze Estimationcited by 9
  12. 2024DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detectioncited by 8
  13. 2025CoPT: Unsupervised Domain Adaptive Segmentation using Domain-Agnostic Text Embeddingscited by 7
  14. 2023Domain Generalization of 3D Object Detection by Density-Resamplingcited by 6
  15. 2024Generalized Contrastive Learning for Multi-Modal Retrieval and Rankingcited by 6
  16. 2025Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detectioncited by 6
  17. 2025Style Evolving along Chain-of-Thought for Unknown-Domain Object Detectioncited by 6
  18. 2025Generalizing vision-language models to novel domains: A comprehensive surveycited by 6
  19. 2024Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detectioncited by 5
  20. 2024ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image Transfercited by 5
  21. 2025V2X-DG: Domain Generalization for Vehicle-to-Everything Cooperative Perceptioncited by 5
  22. 2024Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolationcited by 4
  23. 2024Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentationcited by 4
  24. 2024D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammogramscited by 4
  25. 2025Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentationcited by 4
  26. 2025UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancementcited by 4
  27. 2025What Makes You Unique? Attribute Prompt Composition for Object Re-Identificationcited by 4
  28. 2024Task2Box: Box Embeddings for Modeling Asymmetric Task Relationshipscited by 3
  29. 2024Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Promptingcited by 3
  30. 2025Differential Contrastive Training for Gaze Estimationcited by 3
  31. 2025DG-DETR: Toward Domain Generalized Detection Transformercited by 3
  32. 2025Style-Adaptive Detection Transformer for Single-Source Domain Generalized Object Detectioncited by 3
  33. 2024ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation Modelscited by 2
  34. 2025Single-Domain Generalized Object Detection by Balancing Domain Diversity and Invariancecited by 2
  35. 2025Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Modelscited by 2
  36. 2025Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferabilitycited by 2
  37. 2025Selective, Controlled and Domain-Agnostic Unlearning in Pretrained CLIP: A Training- and Data-Free Approachcited by 2
  38. 2024Domain Generalization Guided by Large-Scale Pre-Trained Priorscited by 1

50 most cited of 87 All 87 (JSON)

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  1. 2024Object Style Diffusion for Generalized Object Detection in Urban Scene
  2. 2023Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment
  3. 2026Open-Vocabulary Domain Generalization in Urban-Scene Segmentation
  4. 2026Prototype-Anchored Generalized Manifold Regression for Unknown-Domain Object Detection
  5. 2025Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models
  6. 2025Visual Textualization for Image Prompted Object Detection
  7. 2025Latent Domain Prompt Learning for Vision-Language Models
  8. 2024Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization