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Weakly Supervised Object Detection On 1

Metrics

MAP

Results

Performance results of various models on this benchmark

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

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Weakly Supervised Object Detection On 1 | SOTA | HyperAI