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Weakly Supervised Object Detection On Comic2K

Métriques

MAP

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	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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