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Weakly Supervised Object Detection
Weakly Supervised Object Detection On 2
Weakly Supervised Object Detection On 2
Metrics
MAP
Results
Performance results of various models on this benchmark
Columns
Model Name
MAP
Paper Title
Repository
MEAA
41.1
Domain-Adaptive Object Detection via Uncertainty-Aware Distribution Alignment
H2FA R-CNN (clipart_test)
55.3
H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection
DASS-Detector (YOLOX Tiny)
64.25
Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
MI-max
38.4
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts
ICCM
46.7
Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection
-
DT+PL
46.0
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation
H2FA R-CNN (clipart_all)
69.8
H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection
0 of 7 row(s) selected.
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