Paper | Code | MAP | ModelName | ReleaseDate |
---|---|---|---|---|
H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection | ✓ Link | 69.8 | H2FA R-CNN (clipart_all) | 2022-01-01 |
Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings | ✓ Link | 64.25 | DASS-Detector (YOLOX Tiny) | 2022-11-19 |
H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection | ✓ Link | 55.3 | H2FA R-CNN (clipart_test) | 2022-01-01 |
Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection | 46.7 | ICCM | 2021-06-19 | |
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation | ✓ Link | 46.0 | DT+PL | 2018-03-30 |
Domain-Adaptive Object Detection via Uncertainty-Aware Distribution Alignment | ✓ Link | 41.1 | MEAA | 2020-10-31 |
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts | ✓ Link | 38.4 | MI-max | 2020-08-03 |