A paper list for domain adaptive object detection.

• Domain Adaptive Faster R-CNN for Object Detection in the Wild [CVPR2018]
• Strong-Weak Distribution Alignment for Adaptive Object Detection [CVPR2019]
• Multi-Level Domain Adaptive Learning for Cross-Domain Detection [ICCVW2019]
• Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation [CVPR2020]
• Adaptive Object Detection with Dual Multi-Label Prediction [ECCV2020]
• Adapting Object Detectors via Selective Cross-Domain Alignment [CVPR2019]
• Exploring Object Relation in Mean Teacher for Cross-Domain Detection [CVPR2019]
• Multi-adversarial Faster-RCNN for Unrestricted Object Detection [ICCV2019]
• iFAN：Image-Instance Full Alignment Networks for Adaptive Object Detection [AAAI2020]
• Cross-domain Detection via Graph-induced Prototype Alignment [CVPR2020]
• Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [CVPR2018]
• Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection [CVPR2019]
• Progressive Domain Adaptation for Object Detection [WACV2020]
• Every Pixel Matters：Center-aware Feature Alignment for Domain Adaptive Object Detector [ECCV2020]
• SCL：Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses [arxiv2019]
• Harmonizing Transferability and Discriminability for Adapting Object Detectors [CVPR2020]
• Exploring Categorical Regularization for Domain Adaptive Object Detection [CVPR2020]
• A Robust Learning Approach to Domain Adaptive Object Detection [ICCV2019]
• Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection [ECCV2020]
• Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN [ECCV2020]
• Adapting Object Detectors with Conditional Domain Normalization [ECCV2020]
• Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation [ACCV2020]
• Category Dictionary Guided Unsupervised Domain Adaptation for Object Detection [AAAI2021]
• Spatial Attention Pyramid Network for Unsupervised Domain Adaptation [ECCV2020]
• RPN Prototype Alignment For Domain Adaptive Object Detector [CVPR2021]
• Domain-Specific Suppression for Adaptive Object Detection [CVPR2021]
• MeGA-CDA：Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection [CVPR2021]
• Unbiased Mean Teacher for Cross-domain Object Detection [CVPR2021]

• Domain Adaptive Semantic Segmentation Using Weak Labels [ECCV2020]
• SSF-DAN：Separated Semantic Feature based Domain Adaptation Network for Semantic Segmentation [ICCV2019]

• Faster R-CNN：Towards Real-Time Object Detection with Region Proposal Networks [NIPS2015]
• Hierarchical Context Embedding for Region-based Object Detection [ECCV2020]

• SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection [arxiv2018]
• Domain Adaptation for Object Detection via Style Consistency [BMVC2019]
• Pixel and feature level based domain adaptation for object detection in autonomous driving [Neurocomputing2019]
• Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night [IJCNN2019]
• Automatic adaptation of object detectors to new domains using self-training [CVPR2019]
• Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection [ICCV2019]
• Few-shot Adaptive Faster R-CNN [CVPR2019]
• Domain-Adaptive Object Detection via Uncertainty-Aware Distribution Alignment [ACM2020]
• Multi-Scale Adversarial Cross-Domain Detection with Robust Discriminative Learning [WACV2020]
• Prior-based Domain Adaptive Object Detection for Hazy and Rainy Conditions [ECCV2020]
• DUNIT：Detection-based Unsupervised Image-to-Image Translation [CVPR2020]

• Automatic Adaptation of a Generic Pedestrian Detector to a Specific Traffic Scene [CVPR2011]
• Unsupervised Domain Adaptation of Virtual and Real Worlds for Pedestrian Detection [ICPR2012]
• Adapting Classification Cascades to New Domains [ICCV2013]
• Domain Adaptive Object Detection [WACV2013]
• LSDA: Large Scale Detection through Adaptation [NIPS2014]
• Domain Adaptation of Deformable Part-based Models [TPAMI2014]
• Subspace Alignment Based Domain Adaptation for RCNN Detector [BMVC2015]
• Learning Scene-Specific Pedestrian Detectors without Real Data [CVPR2015]
• Weakly Supervised Object Localization with Progressive Domain Adaptation [CVPR2016]

• WASSERSTEIN DISTANCE BASED DOMAIN ADAPTATION FOR OBJECT DETECTION [arxiv2019]
• Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning [arxiv2019]
• Curriculum Self-Paced Learning for Cross-Domain Object Detection [arxiv2019]
• Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection [arxiv2020]
• Channel-wise Alignment for Adaptive Object Detection [arxiv2020]

• Visualizing Data using t-SNE [JMLR2008]
• Grad-CAM：Visual Explanations from Deep Networks via Gradient-based Localization [ICCV2017]