mlsanityData to 14 Oct 2026

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

arXiv 2504.10685 ↗First posted 14 Apr 2025cs.CV cs.AIcited by 25

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Abstract (arXiv)

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.

Key facts. Cited by 25 papers in the map (data through 14 Oct 2026). Builds on 27 of its 44 references that are in the map. First posted on arXiv 14 Apr 2025.

Builds on

27 of 44 references.

References · 27

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15 more
  1. 2019Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmarkcited by 340
  2. 2020Frustratingly Simple Few-Shot Object Detectioncited by 282
  3. 2024OpenMoE: An Early Effort on Open Mixture-of-Experts Language Modelscited by 187
  4. 2020Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformationcited by 185
  5. 2017Drone-based Object Counting by Spatially Regularized Regional Proposal Networkcited by 156
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  8. 2020A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysiscited by 57
  9. 2024The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Reportcited by 57
  10. 2024Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Communitycited by 50
  11. 2022TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learningcited by 16
  12. 2024Sharing Key Semantics in Transformer Makes Efficient Image Restorationcited by 14
  13. 2022ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learningcited by 9
  14. 2023Improved Region Proposal Network for Enhanced Few-Shot Object Detectioncited by 5
  15. 2024The Solution for CVPR2024 Foundational Few-Shot Object Detection Challengecited by 3

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 23; 2026: 2.

25 papers.

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  1. 2025NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Resultscited by 22
  2. 2025The Tenth NTIRE 2025 Image Denoising Challenge Reportcited by 21
  3. 2025EgoCross: Benchmarking Multimodal Large Language Models for Cross-Domain Egocentric Video Question Answeringcited by 21
  4. 2025NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Resultscited by 16
  5. 2025Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detectioncited by 15
  6. 2025NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Resultscited by 14
  7. 2025NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Resultscited by 14
  8. 2025NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Resultscited by 12
  9. 2025NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Resultscited by 12
  10. 2025EarthSynth: Generating Informative Earth Observation with Diffusion Modelscited by 12
  11. 2025NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Resultscited by 10
  12. 2025NTIRE 2025 Challenge on Video Quality Enhancement for Video Conferencing: Datasets, Methods and Resultscited by 9
13 more
  1. 2025NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolutioncited by 9
  2. 2025NTIRE 2025 challenge on Text to Image Generation Model Quality Assessmentcited by 8
  3. 2025Control Copy-Paste: Controllable Diffusion-Based Augmentation Method for Remote Sensing Few-Shot Object Detectioncited by 7
  4. 2025NTIRE 2025 XGC Quality Assessment Challenge: Methods and Resultscited by 6
  5. 2025NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challengecited by 5
  6. 2025Diverse Instance Generation via Diffusion Models for Enhanced Few-Shot Object Detection in Remote Sensing Imagescited by 5
  7. 2025RAW Image Reconstruction from RGB on Smartphones. NTIRE 2025 Challenge Reportcited by 4
  8. 2025NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfacescited by 3
  9. 2026Learning Multi-Modal Prototypes for Cross-Domain Few-Shot Object Detectioncited by 3
  10. 2025Few-Shot Learning in Video and 3D Object Detection: A Surveycited by 2
  11. 2026A Closer Look at Cross-Domain Few-Shot Object Detection: Fine-Tuning Matters and Parallel Decoder Helpscited by 2
  12. 2025NTIRE 2025 Image Shadow Removal Challenge Reportcited by 1
  13. 2025NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Resultscited by 1