OpenCodePapers
cross-domain-few-shot-object-detection-on-2
Object Detection
Few-Shot Object Detection
Cross-Domain Few-Shot Object Detection
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Paper
Code
mAP
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ModelName
ReleaseDate
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Enhance Then Search: An Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detection
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37.5
ETS
2025-04-06
CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion
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32.5
CDFormer(w/FT)
2025-05-02
Balanced ID-OOD tradeoff transfer makes query based detectors good few shot learners
31.1
BIOT
2024-05-23
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector
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30.8
CD-ViTO
2024-02-05
Exploring Plain Vision Transformer Backbones for Object Detection
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29.4
ViTDeT-FT
2022-03-30
Detect Everything with Few Examples
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25.6
DE-ViT-FT
2023-09-22
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
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22.9
DeFRCN
2021-08-20
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
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21.9
FSCE
2021-03-10
Meta-RCNN: Meta Learning for Few-Shot Object Detection
20.6
Meta-RCNN
2019-09-25
Frustratingly Simple Few-Shot Object Detection
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20.5
TFA w/cos
2020-03-16
No time to train! Training-Free Reference-Based Instance Segmentation
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16.4
Training-free(w/o FT)
2025-07-03
Detecting Twenty-thousand Classes using Image-level Supervision
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15.4
Detic-FT
2022-01-07
Detect Everything with Few Examples
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8.4
DE-ViT(w/o FT)
2023-09-22
CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion
✓ Link
7.9
CDFormer(w/o FT)
2025-05-02
Detecting Twenty-thousand Classes using Image-level Supervision
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0.1
Detic(w/o FT)
2022-01-07