HyperAI

Few Shot Object Detection On Ms Coco 30 Shot

Métriques

AP

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
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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