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

• URL: http://arxiv.org/abs/2604.11998v1
• Date: Mon, 13 Apr 2026 19:38:49 GMT
• Title: The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results
• Abstract summary: Cross-domain few-shot object detection (CD-FSOD) remains a challenging problem for object detectors and few-shot learning approaches.<n>We hosted the second CD-FSOD Challenge to systematically evaluate and promote progress in detecting objects in unseen target domains.<n>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.
• Score: 151.73494736050924
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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