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.

本研究针对跨域少样本目标检测（CD-FSOD）中的挑战，组织了首届NTIRE 2025 CD-FSOD挑战赛，旨在利用有限的标注数据提升现有目标检测模型在新领域的表现。参赛队伍提出了多种创新模型，取得了新的最优结果，展示了该领域的进展和潜在应用价值。

2025年NTIRE跨域少样本目标检测挑战赛：方法与结果