HyperAI超神经

首页资讯论文教程数据集百科 SOTA LLM 模型天梯 GPU 天梯顶会

中文

HyperAI超神经

Cross Domain Few Shot Object Detection On 2

评估指标

mAP

评测结果

各个模型在此基准测试上的表现结果

模型名称	mAP	Paper Title	Repository
FSCE	21.9	FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
Detic-FT	15.4	Detecting Twenty-thousand Classes using Image-level Supervision
ViTDeT-FT	29.4	Exploring Plain Vision Transformer Backbones for Object Detection
BIOT	31.1	Balanced ID-OOD tradeoff transfer makes query based detectors good few shot learners	-
TFA w/cos	20.5	Frustratingly Simple Few-Shot Object Detection
CD-ViTO	30.8	Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector
DeFRCN	22.9	DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
DE-ViT-FT	25.6	Detect Everything with Few Examples
Meta-RCNN	20.6	Meta-RCNN: Meta Learning for Few-Shot Object Detection	-

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