HyperAI超神経

Few Shot Object Detection On Ms Coco 10 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
MetaYOLO5.6Few-shot Object Detection via Feature Reweighting
MPSR9.8Multi-Scale Positive Sample Refinement for Few-Shot Object Detection
imTED+ViT-S15.0Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection
DeFRCN18.5DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
CFA-DeFRCN19.1CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection-
FSDetView12.5Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
SSR-FSD11.3Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection-
BIOT26.3Balanced ID-OOD tradeoff transfer makes query based detectors good few shot learners-
DAnA-FasterRCNN18.6Dual-Awareness Attention for Few-Shot Object Detection
FSOD(Universal-Prototype)11.0Universal-Prototype Enhancing for Few-Shot Object Detection
FSDetView + PSP13.4Few-Shot Object Detection by Attending to Per-Sample-Prototype-
DCFS19.5Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
Meta-DETR (Single-Scale Feature)16.7Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation
CME15.1Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection
RISF (Resnet-101)21.9Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
FSRN (RetinaNet)15.8Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors-
Meta-DETR (Multi-Scale Feature)17.8Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation
RISF (SWIN-Large)25.5Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
imTED+ViT-B22.5Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection
DE-ViT34.0Detect Everything with Few Examples
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