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Few Shot Object Detection On Ms Coco 30 Shot
Few Shot Object Detection On Ms Coco 30 Shot
평가 지표
AP
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
AP
Paper Title
Repository
DCFS
22.7
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
Meta R-CNN
12.4
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
-
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
-
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
-
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
-
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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