CDTD: A Large-Scale Cross-Domain Benchmark for Instance-Level Image-to-Image Translation and Domain Adaptive Object Detection

Zhiqiang Shen; Ming-Yang Huang; Jianping Shi; Zechun Liu; Harsh Maheshwari; Yutong Zheng; Xiangyang Xue; Marios Savvides; Thomas S. Huang

doi:10.1007/s11263-020-01394-z

JOURNAL ARTICLE

CDTD: A Large-Scale Cross-Domain Benchmark for Instance-Level Image-to-Image Translation and Domain Adaptive Object Detection

Zhiqiang Shen Ming-Yang Huang Jianping Shi Zechun Liu Harsh Maheshwari Yutong Zheng Xiangyang Xue Marios Savvides Thomas S. Huang

Year: 2020 Journal: International Journal of Computer Vision Vol: 129 (3)Pages: 761-780 Publisher: Springer Science+Business Media

DOI: 10.1007/s11263-020-01394-z

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Keywords:

Image translation Computer science Benchmark (surveying) Translation (biology) Artificial intelligence Domain (mathematical analysis) Minimum bounding box Image (mathematics) Object detection Object (grammar) Computer vision Pattern recognition (psychology) Scale (ratio) Mathematics

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Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

CDTD: A Large-Scale Cross-Domain Benchmark for Instance-Level Image-to-Image Translation and Domain Adaptive Object Detection

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Citation History

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