mlsanityData to 14 Oct 2026

FSMODNet: A Closer Look at Few-Shot Detection in Multispectral Data

arXiv 2509.20905 ↗First posted 25 Sep 2025cs.CVcited by 1

Not on the map. Why?

Abstract (arXiv)

Few-shot multispectral object detection (FSMOD) addresses the challenge of detecting objects across visible and thermal modalities with minimal annotated data. In this paper, we explore this complex task and introduce a framework named "FSMODNet" that leverages cross-modality feature integration to improve detection performance even with limited labels. By effectively combining the unique strengths of visible and thermal imagery using deformable attention, the proposed method demonstrates robust adaptability in complex illumination and environmental conditions. Experimental results on two public datasets show effective object detection performance in challenging low-data regimes, outperforming several baselines we established from state-of-the-art models. All code, models, and experimental data splits can be found at https://anonymous.4open.science/r/Test-B48D.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 27 of its 34 references that are in the map. First posted on arXiv 25 Sep 2025.

Builds on

27 of 34 references.

References · 27

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  3. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
  4. 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,974
  5. 2020End-to-End Object Detection with Transformerscited by 7,414
  6. 2017Mask R-CNNcited by 7,277
  7. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,852
  8. 2022A ConvNet for the 2020scited by 3,579
  9. 2020Deformable DETR: Deformable Transformers for End-to-End Object Detectioncited by 3,422
  10. 2015SSD: Single Shot MultiBox Detectorcited by 3,130
  11. 2015Fast R-CNNcited by 2,933
  12. 2013Rich feature hierarchies for accurate object detection and semantic segmentationcited by 2,162
15 more
  1. 2022DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detectioncited by 1,319
  2. 2019A Closer Look at Few-shot Classificationcited by 684
  3. 2022DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETRcited by 573
  4. 2023DETRs Beat YOLOs on Real-time Object Detectioncited by 533
  5. 2022Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detectioncited by 317
  6. 2022Vision Transformer with Deformable Attentioncited by 295
  7. 2020Frustratingly Simple Few-Shot Object Detectioncited by 282
  8. 2022Neighborhood Attention Transformercited by 239
  9. 2019Meta R-CNN : Towards General Solver for Instance-level Few-shot Learningcited by 182
  10. 2021FSCE: Few-Shot Object Detection via Contrastive Proposal Encodingcited by 168
  11. 2022Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitationcited by 48
  12. 2021Cross-Modality Attentive Feature Fusion for Object Detection in Multispectral Remote Sensing Imagerycited by 45
  13. 2024DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusioncited by 28
  14. 2022FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-trainingcited by 20
  15. 2024When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Datasetcited by 10

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.

  1. 2025From Words to Wavelengths: VLMs for Few-Shot Multispectral Object Detectioncited by 0