mlsanityData to 7 Oct 2026

Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector

arXiv 2008.08574 ↗First posted 19 Aug 2020cs.CVcited by 106

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Abstract (arXiv)

A domain adaptive object detector aims to adapt itself to unseen domains that may contain variations of object appearance, viewpoints or backgrounds. Most existing methods adopt feature alignment either on the image level or instance level. However, image-level alignment on global features may tangle foreground/background pixels at the same time, while instance-level alignment using proposals may suffer from the background noise. Different from existing solutions, we propose a domain adaptation framework that accounts for each pixel via predicting pixel-wise objectness and centerness. Specifically, the proposed method carries out center-aware alignment by paying more attention to foreground pixels, hence achieving better adaptation across domains. We demonstrate our method on numerous adaptation settings with extensive experimental results and show favorable performance against existing state-of-the-art algorithms.

Key facts. Cited by 106 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Aug 2020.

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Citing papers per year: 2021: 20; 2022: 23; 2023: 22; 2024: 18; 2025: 18; 2026: 5.

106 papers.

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  1. 2021Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Datacited by 152
  2. 2021MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detectioncited by 106
  3. 2022Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectivescited by 98
  4. 2021Unsupervised Domain Adaptation of Object Detectors: A Surveycited by 93
  5. 2022SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentationcited by 87
  6. 2022SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detectioncited by 74
  7. 2021Category Contrast for Unsupervised Domain Adaptation in Visual Taskscited by 65
  8. 2022Instance Relation Graph Guided Source-Free Domain Adaptive Object Detectioncited by 55
  9. 2021MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptationcited by 54
  10. 2021Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformerscited by 49
  11. 2021RDA: Robust Domain Adaptation via Fourier Adversarial Attackingcited by 48
  12. 2021Learning Cross-modal Contrastive Features for Video Domain Adaptationcited by 47
38 more
  1. 2022Cross Domain Object Detection by Target-Perceived Dual Branch Distillationcited by 46
  2. 2022PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalizationcited by 38
  3. 2021Decoupled Adaptation for Cross-Domain Object Detectioncited by 37
  4. 2022MTTrans: Cross-Domain Object Detection with Mean-Teacher Transformercited by 35
  5. 2021ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptationcited by 33
  6. 2023Density-Insensitive Unsupervised Domain Adaption on 3D Object Detectioncited by 31
  7. 2021Self-Adversarial Disentangling for Specific Domain Adaptationcited by 29
  8. 2024Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignmentcited by 29
  9. 2022Multi-Granularity Alignment Domain Adaptation for Object Detectioncited by 28
  10. 2022ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixingcited by 28
  11. 2021I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectorscited by 27
  12. 2021SimROD: A Simple Adaptation Method for Robust Object Detectioncited by 27
  13. 2022Towards Improving Calibration in Object Detection Under Domain Shiftcited by 26
  14. 2021Robust Object Detection via Instance-Level Temporal Cycle Confusioncited by 24
  15. 2021Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detectioncited by 24
  16. 2023Multi-view Adversarial Discriminator: Mine the Non-causal Factors for Object Detection in Unseen Domainscited by 24
  17. 2021ACDC: The Adverse Conditions Dataset with Correspondences for Robust Semantic Driving Scene Perceptioncited by 21
  18. 2022Towards Robust Adaptive Object Detection under Noisy Annotationscited by 20
  19. 2022SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detectioncited by 19
  20. 2022Improving Transferability for Domain Adaptive Detection Transformerscited by 17
  21. 2022Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detectioncited by 17
  22. 2023Multiclass Confidence and Localization Calibration for Object Detectioncited by 16
  23. 2022Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglementcited by 15
  24. 2023DARTH: Holistic Test-time Adaptation for Multiple Object Trackingcited by 15
  25. 2022Learning Semantic Segmentation from Multiple Datasets with Label Shiftscited by 14
  26. 2022Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detectioncited by 14
  27. 2024DATR: Unsupervised Domain Adaptive Detection Transformer with Dataset-Level Adaptation and Prototypical Alignmentcited by 13
  28. 2023Unsupervised Domain Adaptive Detection with Network Stability Analysiscited by 10
  29. 2024An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domainscited by 10
  30. 2024D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detectioncited by 9
  31. 2022Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shiftscited by 8
  32. 2024Source-Free Domain Adaptation for YOLO Object Detectioncited by 8
  33. 2021Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating roomcited by 7
  34. 2023MILA: Memory-Based Instance-Level Adaptation for Cross-Domain Object Detectioncited by 7
  35. 2021Attention-based Domain Adaptation for Single Stage Detectorscited by 6
  36. 2023Robust Domain Adaptive Object Detection with Unified Multi-Granularity Alignmentcited by 6
  37. 2023Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learningcited by 6
  38. 2025Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detectioncited by 6

50 most cited of 106 All 106 (JSON)