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cross-domain-few-shot-object-detection-on

Object DetectionFew-Shot Object DetectionCross-Domain Few-Shot Object Detection
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PaperCodemAPModelNameReleaseDate
Enhance Then Search: An Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detection✓ Link71.2ETS2025-04-06
CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion✓ Link68.7CDFormer(w/FT)2025-05-02
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector✓ Link60.5CD-ViTO2024-02-05
Balanced ID-OOD tradeoff transfer makes query based detectors good few shot learners58.4BIOT(10-Shot)2024-05-23
Balanced ID-OOD tradeoff transfer makes query based detectors good few shot learners53.3BIOT(5-Shot)2024-05-23
Detect Everything with Few Examples✓ Link49.2DE-ViT-FT2023-09-22
CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion✓ Link37.3CDFormer(w/o FT)2025-05-02
No time to train! Training-Free Reference-Based Instance Segmentation✓ Link35.0Training-free(w/o FT)2025-07-03
Exploring Plain Vision Transformer Backbones for Object Detection✓ Link23.4ViTDeT-FT2022-03-30
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding✓ Link15.9FSCE2021-03-10
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection✓ Link15.5DeFRCN2021-08-20
Frustratingly Simple Few-Shot Object Detection✓ Link14.8TFA w/cos2020-03-16
Meta-RCNN: Meta Learning for Few-Shot Object Detection14.0Meta-RCNN2019-09-25
Detecting Twenty-thousand Classes using Image-level Supervision✓ Link12.0Detic-FT2022-01-07
Detect Everything with Few Examples✓ Link9.2DE-ViT(w/o FT)2023-09-22
Detecting Twenty-thousand Classes using Image-level Supervision✓ Link0.6Detic(w/o FT)2022-01-07