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Weakly Supervised 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 TitleRepository
MEAA41.1Domain-Adaptive Object Detection via Uncertainty-Aware Distribution Alignment
H2FA R-CNN (clipart_test)55.3H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection
DASS-Detector (YOLOX Tiny)64.25Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings-
MI-max38.4Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts-
ICCM46.7Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection-
DT+PL46.0Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation-
H2FA R-CNN (clipart_all)69.8H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection
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Weakly Supervised Object Detection On 2 | SOTA | HyperAI超神经