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

Fuente: arXiv

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Bibliographic Details
Main Authors:	Fu, Yuqian, Qiu, Xingyu, Ren, Bin, Fu, Yanwei, Timofte, Radu, Sebe, Nicu, Yang, Ming-Hsuan, Van Gool, Luc, Zhang, Kaijin, Nong, Qingpeng, Dong, Xiugang, Gao, Hong, Zhou, Xiangsheng, Pan, Jiancheng, Liu, Yanxing, He, Xiao, Li, Jiahao, Sun, Yuze, Huang, Xiaomeng, Zhang, Zhenyu, Ma, Ran, Liu, Yuhan, Zhuang, Zijian, Yi, Shuai, Zou, Yixiong, Hong, Lingyi, Chen, Mingxi, Li, Runze, Sheng, Xingdong, Zhang, Wenqiang, Chen, Weisen, Yan, Yongxin, Chen, Xinguo, Shao, Yuanjie, Zuo, Zhengrong, Sang, Nong, Wu, Hao, Sun, Haoran, Hu, Shuming, Zhang, Yan, Shi, Zhiguang, Zhang, Yu, Chen, Chao, Wang, Tao, Feng, Da, Zhuo, Linhai, Lin, Ziming, Huang, Yali, Me, Jie, Yang, Yiming, Guo, Mi, Jiu, Mingyuan, Xu, Mingliang, Xiong, Maomao, Zhang, Qunshu, Cao, Xinyu, Yang, Yuqing, Sheng, Dianmo, Zhao, Xuanpu, Li, Zhiyu, Ding, Xuyang, Li, Wenqian
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2504.10685