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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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  4. Weakly Supervised Object Detection On 2

Weakly Supervised Object Detection On 2

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MAP

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이 벤치마크에서 각 모델의 성능 결과

모델 이름
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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