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SOTA
Weakly Supervised Object Detection
Weakly Supervised Object Detection On Comic2K
Weakly Supervised Object Detection On Comic2K
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MAP
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
MAP
Paper Title
Repository
H2FA R-CNN (+extra)
53.0
H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection
DASS-Detector (YOLOX Tiny)
67.41
Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
DT+PL (+extra)
42.2
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation
MI-max
27
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts
ICCM
37.1
Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection
-
H2FA R-CNN
46.4
H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection
DT+PL
37.2
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation
TADP
57.4
Text-image Alignment for Diffusion-based Perception
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