DS1 spectrogram: The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results

The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results

April 13, 20262604.11998

Authors

Runze Li,Liwei Zhou,Zixuan Jiang,Longfei Liu,Dandan Zhao

Abstract

Cross-domain few-shot object detection (CD-FSOD) remains a challenging problem for existing object detectors and few-shot learning approaches, particularly when generalizing across distinct domains. As part of NTIRE 2026, we hosted the second CD-FSOD Challenge to systematically evaluate and promote progress in detecting objects in unseen target domains under limited annotation conditions.

The challenge received strong community interest, with 128 registered participants and a total of 696 submissions. Among them, 31 teams actively participated, and 19 teams submitted valid final results.

Participants explored a wide range of strategies, introducing innovative methods that push the performance frontier under both open-source and closed-source tracks. This report presents a detailed overview of the NTIRE 2026 CD-FSOD Challenge, including a summary of the submitted approaches and an analysis of the final results across all participating teams.

Challenge Codes: https://github.com/ohMargin/NTIRE2026_CDFSOD.

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