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NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results

Abstract

Cross-Domain Few-Shot Object Detection (CD-FSOD) poses significant challenges to existing object detection and few-shot detection models when applied across domains. In conjunction with NTIRE 2025, we organized the 1st CD-FSOD Challenge, aiming to advance the performance of current object detectors on entirely novel target domains with only limited labeled data. The challenge attracted 152 registered participants, received submissions from 42 teams, and concluded with 13 teams making valid final submissions. Participants approached the task from diverse perspectives, proposing novel models that achieved new state-of-the-art (SOTA) results under both open-source and closed-source settings. In this report, we present an overview of the 1st NTIRE 2025 CD-FSOD Challenge, highlighting the proposed solutions and summarizing the results submitted by the participants.

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@article{fu2025_2504.10685,
  title={ NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results },
  author={ Yuqian Fu and Xingyu Qiu and Bin Ren and Yanwei Fu and Radu Timofte and Nicu Sebe and Ming-Hsuan Yang and Luc Van Gool and Kaijin Zhang and Qingpeng Nong and Xiugang Dong and Hong Gao and Xiangsheng Zhou and Jiancheng Pan and Yanxing Liu and Xiao He and Jiahao Li and Yuze Sun and Xiaomeng Huang and Zhenyu Zhang and Ran Ma and Yuhan Liu and Zijian Zhuang and Shuai Yi and Yixiong Zou and Lingyi Hong and Mingxi Chen and Runze Li and Xingdong Sheng and Wenqiang Zhang and Weisen Chen and Yongxin Yan and Xinguo Chen and Yuanjie Shao and Zhengrong Zuo and Nong Sang and Hao Wu and Haoran Sun and Shuming Hu and Yan Zhang and Zhiguang Shi and Yu Zhang and Chao Chen and Tao Wang and Da Feng and Linhai Zhuo and Ziming Lin and Yali Huang and Jie Me and Yiming Yang and Mi Guo and Mingyuan Jiu and Mingliang Xu and Maomao Xiong and Qunshu Zhang and Xinyu Cao and Yuqing Yang and Dianmo Sheng and Xuanpu Zhao and Zhiyu Li and Xuyang Ding and Wenqian Li },
  journal={arXiv preprint arXiv:2504.10685},
  year={ 2025 }
}
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