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SOTA
少样本物体检测
Few Shot Object Detection On Ms Coco 10 Shot
Few Shot Object Detection On Ms Coco 10 Shot
评估指标
AP
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
AP
Paper Title
Repository
CD-ViTO
35.3
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector
DE-ViT
34.0
Detect Everything with Few Examples
BIOT
26.3
Balanced ID-OOD tradeoff transfer makes query based detectors good few shot learners
-
RISF (SWIN-Large)
25.5
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
DETReg-ft-full DDETR
25
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
imTED+ViT-B
22.5
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection
hANMCL
22.4
Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning
RISF (Resnet-101)
21.9
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
DCFS
19.5
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
-
CFA-DeFRCN
19.1
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection
-
DAnA-FasterRCNN
18.6
Dual-Awareness Attention for Few-Shot Object Detection
DeFRCN
18.5
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
Meta-DETR (Multi-Scale Feature)
17.8
Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation
Meta-DETR (Single-Scale Feature)
16.7
Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation
FSRN (RetinaNet)
15.8
Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors
-
CME
15.1
Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection
imTED+ViT-S
15.0
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection
FSDetView + PSP
13.4
Few-Shot Object Detection by Attending to Per-Sample-Prototype
-
PnP-FSOD + CT
13.3
Instant Response Few-shot Object Detection with Meta Strategy and Explicit Localization Inference
FSDetView
12.5
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
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