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Few Shot Object Detection On Ms Coco 30 Shot

評価指標

AP

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
AP
Paper TitleRepository
DCFS22.7Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
Meta R-CNN12.4Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning-
DE-ViT34Detect Everything with Few Examples-
Meta-DETR (Multi-Scale Feature)22.9Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation-
FsDetView14.7Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild-
MetaDet11.3Meta-Learning to Detect Rare Objects-
Meta-DETR (Single-Scale Feature)21.3Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation-
FeatReweight9.1Few-shot Object Detection via Feature Reweighting-
SSR-FSD14.7Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection-
imTED+ViT-B30.2Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection-
DETReg-ft-full DDETR30DETReg: Unsupervised Pretraining with Region Priors for Object Detection-
DeFRCN22.6DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection-
RISF (Resnet-101)24.4Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection-
MPSR14.1Multi-Scale Positive Sample Refinement for Few-Shot Object Detection-
LSTD (YOLO)6.7LSTD: A Low-Shot Transfer Detector for Object Detection-
TFA w/ cos13.7Frustratingly Simple Few-Shot Object Detection-
hANMCL25.0Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning-
BIOT33.8Balanced ID-OOD tradeoff transfer makes query based detectors good few shot learners-
RISF (SWIN-Large)31.9Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection-
CD-ViTO35.9Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector-
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Few Shot Object Detection On Ms Coco 30 Shot | SOTA | HyperAI超神経