mlsanityData to 14 Oct 2026

Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather

arXiv 2210.15176 ↗First posted 27 Oct 2022cs.CVcited by 41

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Abstract (arXiv)

Most object detection methods for autonomous driving usually assume a consistent feature distribution between training and testing data, which is not always the case when weathers differ significantly. The object detection model trained under clear weather might not be effective enough in foggy weather because of the domain gap. This paper proposes a novel domain adaptive object detection framework for autonomous driving under foggy weather. Our method leverages both image-level and object-level adaptation to diminish the domain discrepancy in image style and object appearance. To further enhance the model's capabilities under challenging samples, we also come up with a new adversarial gradient reversal layer to perform adversarial mining for the hard examples together with domain adaptation. Moreover, we propose to generate an auxiliary domain by data augmentation to enforce a new domain-level metric regularization. Experimental results on public benchmarks show the effectiveness and accuracy of the proposed method. The code is available at https://github.com/jinlong17/DA-Detect.

Key facts. Cited by 41 papers in the map (data through 14 Oct 2026). Builds on 46 of its 66 references that are in the map. First posted on arXiv 27 Oct 2022.

Builds on

46 of 66 references.

References · 46

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34 more
  1. 2018Domain Adaptive Faster R-CNN for Object Detection in the Wildcited by 443
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  3. 2019Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Comingcited by 336
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  6. 2018Strong-Weak Distribution Alignment for Adaptive Object Detectioncited by 270
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  8. 2019Exploring Object Relation in Mean Teacher for Cross-Domain Detectioncited by 137
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  10. 2019Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detectioncited by 123
  11. 2020A Review and Comparative Study on Probabilistic Object Detection in Autonomous Drivingcited by 115
  12. 2019Multi-adversarial Faster-RCNN for Unrestricted Object Detectioncited by 112
  13. 2020Cross-domain Detection via Graph-induced Prototype Alignmentcited by 109
  14. 2021Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weathercited by 97
  15. 2021SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generationcited by 94
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  20. 2021Uncertainty-Aware Unsupervised Domain Adaptation in Object Detectioncited by 60
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 10; 2024: 11; 2025: 15; 2026: 4.

41 papers.

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  1. 2022Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communicationcited by 47
  2. 2026DriveVA: Video Action Models are Zero-Shot Driverscited by 23
  3. 2025EgoNight: Towards Egocentric Vision Understanding at Night with a Challenging Benchmarkcited by 19
  4. 2023S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Realitycited by 18
  5. 2024V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditionscited by 12
  6. 2024UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gapscited by 12
  7. 2024Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detectioncited by 12
  8. 2023Generating Evidential BEV Maps in Continuous Driving Spacecited by 10
  9. 2023Deep Transfer Learning for Intelligent Vehicle Perception: a Surveycited by 10
  10. 2023Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Drivingcited by 9
  11. 2024Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Videocited by 9
  12. 2024Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistancecited by 8
29 more
  1. 2023Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy Weathercited by 7
  2. 2024DiffuBox: Refining 3D Object Detection with Point Diffusioncited by 7
  3. 2023Robust Domain Adaptive Object Detection with Unified Multi-Granularity Alignmentcited by 6
  4. 2023Online Distillation with Continual Learning for Cyclic Domain Shiftscited by 6
  5. 2023Cross-Domain Car Detection Model with Integrated Convolutional Block Attention Mechanismcited by 5
  6. 2024Efficient unsupervised domain adaptation via self-supervised vision transformer and synergistic cross-domain alignmentcited by 5
  7. 2025HazeFlow: Revisit Haze Physical Model as ODE and Non-Homogeneous Haze Generation for Real-World Dehazingcited by 4
  8. 2025Source-Free Object Detection with Detection Transformercited by 4
  9. 2025Analogical Learning for Cross-Scenario Generalization: Framework and Application to Intelligent Localizationcited by 3
  10. 2024EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAVcited by 2
  11. 2025Let Synthetic Data Shine: Domain Reassembly and Soft-Fusion for Single Domain Generalizationcited by 2
  12. 2023VehicleGAN: Pair-flexible Pose Guided Image Synthesis for Vehicle Re-identificationcited by 1
  13. 2024WARLearn: Weather-Adaptive Representation Learningcited by 1
  14. 2024Physically Interpretable Probabilistic Domain Characterizationcited by 1
  15. 2025Simulating Refractive Distortions and Weather-Induced Artifacts for Resource-Constrained Autonomous Perceptioncited by 1
  16. 2023DA-RAW: Domain Adaptive Object Detection for Real-World Adverse Weather Conditionscited by 0
  17. 2024OSSA: Unsupervised One-Shot Style Adaptationcited by 0
  18. 2025Leveraging Confident Image Regions for Source-Free Domain-Adaptive Object Detectioncited by 0
  19. 2025Generalizable Image Repair for Robust Visual Controlcited by 0
  20. 2025UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weatherscited by 0
  21. 2025Learning Unpaired Image Dehazing with Physics-based Rehazy Generationcited by 0
  22. 2025EvoPSF: Online Evolution of Autonomous Driving Models via Planning-State Feedbackcited by 0
  23. 2025Dino-Diffusion Modular Designs Bridge the Cross-Domain Gap in Autonomous Parkingcited by 0
  24. 2025SemOD: Semantic Enabled Object Detection Network under Various Weather Conditionscited by 0
  25. 2025Do We Need Perfect Data? Leveraging Noise for Domain Generalized Segmentationcited by 0
  26. 2025Vehicle Dynamics Embedded World Models for Autonomous Drivingcited by 0
  27. 2026Out-of-Distribution Object Detection in Street Scenes via Synthetic Outlier Exposure and Transfer Learningcited by 0
  28. 2026Localization-Guided Foreground Augmentation in Autonomous Drivingcited by 0
  29. 2026Weather-Aware Domain Adaptation for Street-View Weather Recognitioncited by 0