Few Shot Object Detection On Ms Coco 10 Shot

Metrics

Results

Performance results of various models on this benchmark

Model Name	AP	Paper Title	Repository
MetaYOLO	5.6	Few-shot Object Detection via Feature Reweighting	-
MPSR	9.8	Multi-Scale Positive Sample Refinement for Few-Shot Object Detection	-
imTED+ViT-S	15.0	Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection	-
DeFRCN	18.5	DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection	-
CFA-DeFRCN	19.1	CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection	-
FSDetView	12.5	Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild	-
SSR-FSD	11.3	Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection	-
BIOT	26.3	Balanced ID-OOD tradeoff transfer makes query based detectors good few shot learners	-
DAnA-FasterRCNN	18.6	Dual-Awareness Attention for Few-Shot Object Detection	-
FSOD(Universal-Prototype)	11.0	Universal-Prototype Enhancing for Few-Shot Object Detection	-
FSDetView + PSP	13.4	Few-Shot Object Detection by Attending to Per-Sample-Prototype	-
DCFS	19.5	Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
Meta-DETR (Single-Scale Feature)	16.7	Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation	-
CME	15.1	Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection	-
RISF (Resnet-101)	21.9	Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection	-
FSRN (RetinaNet)	15.8	Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors	-
Meta-DETR (Multi-Scale Feature)	17.8	Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation	-
RISF (SWIN-Large)	25.5	Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection	-
imTED+ViT-B	22.5	Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection	-
DE-ViT	34.0	Detect Everything with Few Examples	-

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