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

Weakly Supervised Object Detection On 1

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
DT+PL (+extra)	59.1	Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation
MI-max	49.5	Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts
TADP	72.2	Text-image Alignment for Diffusion-based Perception
MI-max	50.1	Weakly Supervised Object Detection in Artworks
ICCM	57.4	Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection	-
MCAR	56.0	Adaptive Object Detection with Dual Multi-Label Prediction	-
DASS-Detector (YOLOX Tiny)	71.53	Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
DT+PL	54.3	Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation
H2FA R-CNN	59.9	H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection	-
H2FA R-CNN (+extra)	62.6	H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection	-
WSDDN	12.7	Weakly Supervised Deep Detection Networks
MEAA	55.5	Domain-Adaptive Object Detection via Uncertainty-Aware Distribution Alignment	-

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