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Category Dictionary Guided Unsupervised Domain Adaptation for Object Detection

https://doi.org/10.1609/aaai.v35i3.16290

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01219-9_18openalex-snapshot

Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training

inferredcites →https://doi.org/10.1007/978-3-030-01228-1_32openalex-snapshot

DCAN: Dual Channel-Wise Alignment Networks for Unsupervised Scene Adaptation

inferredcites →https://doi.org/10.1007/978-3-030-58548-8_45openalex-snapshot

Label Propagation with Augmented Anchors: A Simple Semi-supervised Learning Baseline for Unsupervised Domain Adaptation

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot

Microsoft COCO: Common Objects in Context

inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot

The Pascal Visual Object Classes (VOC) Challenge

inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot

Fully convolutional networks for semantic segmentation

inferredcites →https://doi.org/10.1109/cvpr.2016.322openalex-snapshot

A Probabilistic Collaborative Representation Based Approach for Pattern Classification

inferredcites →https://doi.org/10.1109/cvpr.2016.350openalex-snapshot

The Cityscapes Dataset for Semantic Urban Scene Understanding

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.316openalex-snapshot

Adversarial Discriminative Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr.2018.00473openalex-snapshot

Image to Image Translation for Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr.2018.00525openalex-snapshot

Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr.2019.00078openalex-snapshot

Adapting Object Detectors via Selective Cross-Domain Alignment

inferredcites →https://doi.org/10.1109/cvpr.2019.00087openalex-snapshot

Automatic Adaptation of Object Detectors to New Domains Using Self-Training

inferredcites →https://doi.org/10.1109/cvpr.2019.00503openalex-snapshot

Contrastive Adaptation Network for Unsupervised Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr.2019.00712openalex-snapshot

Strong-Weak Distribution Alignment for Adaptive Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2019.01172openalex-snapshot

Exploring Object Relation in Mean Teacher for Cross-Domain Detection

inferredcites →https://doi.org/10.1109/cvpr.2019.01274openalex-snapshot

Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00889openalex-snapshot

Harmonizing Transferability and Discriminability for Adapting Object Detectors

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01237openalex-snapshot

Cross-Domain Detection via Graph-Induced Prototype Alignment

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01378openalex-snapshot

Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation

inferredcites →https://doi.org/10.1109/cvprw.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1109/iccv.2011.6126277openalex-snapshot

Sparse representation or collaborative representation: Which helps face recognition?

inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot

Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

inferredcites →https://doi.org/10.1109/iccv.2017.322openalex-snapshot

Mask R-CNN

inferredcites →https://doi.org/10.1109/iccv.2019.00018openalex-snapshot

Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation

inferredcites →https://doi.org/10.1109/iccv.2019.00057openalex-snapshot

A Robust Learning Approach to Domain Adaptive Object Detection

inferredcites →https://doi.org/10.1109/iccv.2019.00151openalex-snapshot

Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation

inferredcites →https://doi.org/10.1109/iccv.2019.00608openalex-snapshot

Confidence Regularized Self-Training

inferredcites →https://doi.org/10.1109/iccv.2019.00619openalex-snapshot

Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection

inferredcites →https://doi.org/10.1109/iccv.2019.00677openalex-snapshot

Multi-Adversarial Faster-RCNN for Unrestricted Object Detection

inferredcites →https://doi.org/10.1109/icip.2010.5652363openalex-snapshot

Metaface learning for sparse representation based face recognition

inferredcites →https://doi.org/10.1109/icra.2017.7989092openalex-snapshot

Driving in the Matrix: Can virtual worlds replace human-generated annotations for real world tasks?

inferredcites →https://doi.org/10.1109/ssci47803.2020.9308604openalex-snapshot

Deep Domain Adaptive Object Detection: a Survey

inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.48550/arxiv.0809.3083openalex-snapshot

Supervised Dictionary Learning

inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot

Very Deep Convolutional Networks for Large-Scale Image Recognition

inferredcites →https://doi.org/10.48550/arxiv.1409.7495openalex-snapshot

Unsupervised Domain Adaptation by Backpropagation

inferredcites →https://doi.org/10.48550/arxiv.1411.4038openalex-snapshot

Fully Convolutional Networks for Semantic Segmentation

inferredcites →https://doi.org/10.48550/arxiv.1602.04433openalex-snapshot

Unsupervised Domain Adaptation with Residual Transfer Networks

inferredcites →https://doi.org/10.48550/arxiv.1910.13049openalex-snapshot

Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4691422openalex-extracted

A Semantic Consistent Object Detection Model for Domain Adaptation Based on Mixed-Class Distribution Metrics

inferred← citeshttps://doi.org/10.1007/978-3-031-91672-4_14openalex-snapshot

Source-Free Domain Adaptation for YOLO Object Detection

inferred← citeshttps://doi.org/10.1007/s10489-021-02967-2openalex-snapshot

Dual-branch network via pseudo-label training for thyroid nodule detection in ultrasound image

inferred← citeshttps://doi.org/10.1007/s10489-022-04176-xopenalex-snapshot

Attentive recurrent adversarial domain adaptation with Top-k pseudo-labeling for time series classification

inferred← citeshttps://doi.org/10.1007/s10489-023-04873-1openalex-snapshot

A Text-Specific Domain Adaptive Network for Scene Text Detection in the Wild

inferred← citeshttps://doi.org/10.1007/s10489-024-05713-6openalex-snapshot

Semantic consistency knowledge transfer for unsupervised cross domain object detection

inferred← citeshttps://doi.org/10.1016/j.cviu.2024.104153openalex-snapshot

AWADA: Foreground-focused adversarial learning for cross-domain object detection

inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126622openalex-snapshot

Cross-domain video action recognition via adaptive gradual learning

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128944openalex-snapshot

A semantic consistent object detection model for domain adaptation based on mixed-class distribution metrics

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00785openalex-snapshot

Source-Free Object Detection by Learning to Overlook Domain Style

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00936openalex-snapshot

Multi-Granularity Alignment Domain Adaptation for Object Detection

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01393openalex-snapshot

H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-domain Weakly Supervised Object Detection

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.02051openalex-snapshot

Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00318openalex-snapshot

AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01099openalex-snapshot

DETR with Additional Global Aggregation for Cross-domain Weakly Supervised Object Detection

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01721openalex-snapshot

Bidirectional Alignment for Domain Adaptive Detection with Transformers

inferred← citeshttps://doi.org/10.1109/iccvw60793.2023.00099openalex-snapshot

Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection

inferred← citeshttps://doi.org/10.1109/icme52920.2022.9859911openalex-snapshot

Mining Valuable Source Domain Instances for Privacy-Preserving Domain Adaptive Object Detection

inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892250openalex-snapshot

Domain Transformer: Predicting Samples of Unseen, Future Domains

inferred← citeshttps://doi.org/10.1109/iros55552.2023.10342103openalex-snapshot

Cross-Domain Autonomous Driving Perception Using Contrastive Appearance Adaptation

inferred← citeshttps://doi.org/10.1109/tcsvt.2022.3202094openalex-snapshot

Representative Feature Alignment for Adaptive Object Detection

inferred← citeshttps://doi.org/10.1109/tgrs.2025.3559915openalex-snapshot

Cross-Modality Domain Adaptation Based on Semantic Graph Learning: From Optical to SAR Images

inferred← citeshttps://doi.org/10.1109/tits.2022.3177647openalex-snapshot

Hierarchical Graph Augmented Deep Collaborative Dictionary Learning for Classification

inferred← citeshttps://doi.org/10.1109/tits.2024.3413813openalex-snapshot

Uncertainty-Aware and Class-Balanced Domain Adaptation for Object Detection in Driving Scenes

inferred← citeshttps://doi.org/10.1109/tmm.2023.3258141openalex-snapshot

Intra- and Inter-Class Induced Discriminative Deep Dictionary Learning for Visual Recognition

inferred← citeshttps://doi.org/10.1109/tmm.2025.3535362openalex-snapshot

Dual-Domain Teacher for Unsupervised Domain Adaptation Detection

inferred← citeshttps://doi.org/10.1109/tnnls.2023.3331778openalex-snapshot

Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection

inferred← citeshttps://doi.org/10.1109/tpami.2024.3416098openalex-snapshot

Robust Domain Adaptive Object Detection With Unified Multi-Granularity Alignment

inferred← citeshttps://doi.org/10.1109/tro.2024.3435387openalex-snapshot

DALI: Domain Adaptive LiDAR Object Detection via Distribution-Level and Instance-Level Pseudolabel Denoising

inferred← citeshttps://doi.org/10.1109/wacv51458.2022.00045openalex-snapshot

To miss-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors

inferred← citeshttps://doi.org/10.1145/3664647.3680666openalex-snapshot

A Plug-and-Play Method for Rare Human-Object Interactions Detection by Bridging Domain Gap

inferred← citeshttps://doi.org/10.1145/3664647.3680962openalex-snapshot

Diffusion Domain Teacher: Diffusion Guided Domain Adaptive Object Detector

inferred← citeshttps://doi.org/10.18653/v1/2022.starsem-1.27openalex-snapshot

Unsupervised Reinforcement Adaptation for Class-Imbalanced Text Classification

inferred← citeshttps://doi.org/10.3390/app14072844openalex-snapshot

Diverse Feature-Level Guidance Adjustments for Unsupervised Domain Adaptative Object Detection

inferred← citeshttps://doi.org/10.3390/s23031199openalex-snapshot

Cross-Domain Object Detection by Dual Adaptive Branch

inferred← citeshttps://doi.org/10.3390/s23136102openalex-snapshot

Domain Adaptation Based on Semi-Supervised Cross-Domain Mean Discriminative Analysis and Kernel Transfer Extreme Learning Machine

inferred← citeshttps://doi.org/10.48550/arxiv.2109.06165openalex-snapshot

CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation

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