mlsanityData to 14 Oct 2026

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

arXiv 2604.11998 ↗First posted 13 Apr 2026cs.CV cs.AIcited by 13

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 17 of its 133 references that are in the map. First posted on arXiv 13 Apr 2026.

Builds on

17 of 133 references.

References · 17

  1. 2024Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolutioncited by 4,234
  2. 2023Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detectioncited by 3,332
  3. 2024SAM 2: Segment Anything in Images and Videoscited by 2,863
  4. 2025Qwen3-VL Technical Reportcited by 2,793
  5. 2020YOLOv4: Optimal Speed and Accuracy of Object Detectioncited by 1,630
  6. 2025DINOv3cited by 1,414
  7. 2019MMDetection: Open MMLab Detection Toolbox and Benchmarkcited by 1,385
  8. 2025Qwen-Image Technical Reportcited by 1,044
  9. 2025SAM 3: Segment Anything with Conceptscited by 906
  10. 2020Frustratingly Simple Few-Shot Object Detectioncited by 282
  11. 2020Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformationcited by 185
  12. 2024An Open and Comprehensive Pipeline for Unified Object Grounding and Detectioncited by 65
5 more
  1. 2025Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detectioncited by 15
  2. 2025MARIS: Marine Open-Vocabulary Instance Segmentation with Geometric Enhancement and Semantic Alignmentcited by 15
  3. 2023Detect Everything with Few Examplescited by 14
  4. 2025WeDetect: Fast Open-Vocabulary Object Detection as Retrievalcited by 14
  5. 2026Learning Multi-Modal Prototypes for Cross-Domain Few-Shot Object Detectioncited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 13.

13 papers.

Sort: