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SOTA
Few-Shot-Objekterkennung
Few Shot Object Detection On Ms Coco 30 Shot
Few Shot Object Detection On Ms Coco 30 Shot
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AP
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
AP
Paper Title
Repository
DCFS
22.7
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
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Meta R-CNN
12.4
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
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DE-ViT
34
Detect Everything with Few Examples
Meta-DETR (Multi-Scale Feature)
22.9
Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation
FsDetView
14.7
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
MetaDet
11.3
Meta-Learning to Detect Rare Objects
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Meta-DETR (Single-Scale Feature)
21.3
Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation
FeatReweight
9.1
Few-shot Object Detection via Feature Reweighting
SSR-FSD
14.7
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
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imTED+ViT-B
30.2
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection
DETReg-ft-full DDETR
30
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
DeFRCN
22.6
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
RISF (Resnet-101)
24.4
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
MPSR
14.1
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection
LSTD (YOLO)
6.7
LSTD: A Low-Shot Transfer Detector for Object Detection
TFA w/ cos
13.7
Frustratingly Simple Few-Shot Object Detection
hANMCL
25.0
Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning
BIOT
33.8
Balanced ID-OOD tradeoff transfer makes query based detectors good few shot learners
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RISF (SWIN-Large)
31.9
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
CD-ViTO
35.9
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector
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