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https://doi.org/10.2139/ssrn.4677379

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-58523-5_6openalex-extracted
Collaborative Training Between Region Proposal Localization and Classification for Domain Adaptive Object Detection
inferredcites →https://doi.org/10.1007/978-3-319-58347-1_10openalex-extracted
Domain-Adversarial Training of Neural Networks
inferredcites →https://doi.org/10.1016/j.neunet.2021.12.003openalex-extracted
Feature Correlation-Steered Capsule Network for object detection
inferredcites →https://doi.org/10.1016/j.neunet.2022.08.029openalex-extracted
Attentional feature pyramid network for small object detection
inferredcites →https://doi.org/10.1016/j.neunet.2023.06.009openalex-extracted
Dual Distillation Discriminator Networks for Domain Adaptive Few-Shot Learning
inferredcites →https://doi.org/10.1109/cvpr.2012.6248074openalex-extracted
Are we ready for autonomous driving? The KITTI vision benchmark suite
inferredcites →https://doi.org/10.1109/cvpr.2016.350openalex-extracted
The Cityscapes Dataset for Semantic Urban Scene Understanding
inferredcites →https://doi.org/10.1109/cvpr.2018.00352openalex-extracted
Domain Adaptive Faster R-CNN for Object Detection in the Wild
inferredcites →https://doi.org/10.1109/cvpr.2019.00078openalex-extracted
Adapting Object Detectors via Selective Cross-Domain Alignment
inferredcites →https://doi.org/10.1109/cvpr.2019.00087openalex-extracted
Automatic Adaptation of Object Detectors to New Domains Using Self-Training
inferredcites →https://doi.org/10.1109/cvpr.2019.00300openalex-extracted
Bounding Box Regression With Uncertainty for Accurate Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2019.00712openalex-extracted
Strong-Weak Distribution Alignment for Adaptive Object Detection
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01174openalex-extracted
Exploring Categorical Regularization for Domain Adaptive Object Detection
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01237openalex-extracted
Cross-Domain Detection via Graph-Induced Prototype Alignment
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01378openalex-extracted
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00408openalex-extracted
Unbiased Mean Teacher for Cross-domain Object Detection
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00523openalex-extracted
Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00743openalex-extracted
Cross-Domain Adaptive Teacher for Object Detection
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00936openalex-extracted
Multi-Granularity Alignment Domain Adaptation for Object Detection
inferredcites →https://doi.org/10.1109/iccv.2019.00057openalex-extracted
A Robust Learning Approach to Domain Adaptive Object Detection
inferredcites →https://doi.org/10.1109/iccv.2019.00149openalex-extracted
Moment Matching for Multi-Source Domain Adaptation
inferredcites →https://doi.org/10.1109/iccv.2019.00619openalex-extracted
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection
inferredcites →https://doi.org/10.1109/iccv.2019.00677openalex-extracted
Multi-Adversarial Faster-RCNN for Unrestricted Object Detection
inferredcites →https://doi.org/10.1109/icmlc.2013.6890438openalex-extracted
Bayesian multi-source domain adaptation
inferredcites →https://doi.org/10.1109/tcsvt.2019.2905373openalex-extracted
DSN: A New Deformable Subnetwork for Object Detection
inferredcites →https://doi.org/10.1109/tcsvt.2019.2950526openalex-extracted
High-Level Semantic Networks for Multi-Scale Object Detection
inferredcites →https://doi.org/10.1109/tcsvt.2021.3091620openalex-extracted
Domain Contrast for Domain Adaptive Object Detection
inferredcites →https://doi.org/10.1109/tcsvt.2022.3216611openalex-extracted
Exploring Implicit Domain-Invariant Features for Domain Adaptive Object Detection
inferredcites →https://doi.org/10.1109/tits.2021.3115823openalex-extracted
C2FDA: Coarse-to-Fine Domain Adaptation for Traffic Object Detection
inferredcites →https://doi.org/10.1109/tits.2022.3164407openalex-extracted
Stepwise Domain Adaptation (SDA) for Object Detection in Autonomous Vehicles Using an Adaptive CenterNet
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-extracted
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tpami.2018.2858826openalex-extracted
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.1609/aaai.v32i1.11767openalex-extracted
Multi-Adversarial Domain Adaptation
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-extracted
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1409.7495openalex-extracted
Unsupervised Domain Adaptation by Backpropagation
inferredcites →https://doi.org/10.48550/arxiv.1506.01497openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1805.08727openalex-extracted
Algorithms and Theory for Multiple-Source Adaptation
inferredcites →https://doi.org/10.48550/arxiv.1809.08545openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1907.10343openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1909.00597openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2003.00707openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2003.06297openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2003.09152openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2003.10275openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2003.12849openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2102.02996openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2203.16897openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2204.07964openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2207.05536openalex-extracted
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