Object Detection on M5 HCM to LCM 400x 1.0 (test)
33.8mAPRanking+Triplet loss
Evaluation Results
| Method | Links | |
|---|---|---|
| Ranking+Triplet lossSource Domain=HCM, Target Domain=LCM, Source Magnification=400x, Target Magnification=400x, Base Detector=Faster R-CNN, Backbone=ResNet-502021.11 | 33.8 | |
| Ranking lossSource Domain=HCM, Target Domain=LCM, Source Magnification=400x, Target Magnification=400x, Base Detector=Faster R-CNN, Backbone=ResNet-502021.11 | 32.4 | |
| Triplet lossSource Domain=HCM, Target Domain=LCM, Source Magnification=400x, Target Magnification=400x, Base Detector=Faster R-CNN, Backbone=ResNet-502021.11 | 32.2 | |
| Fine Tuning on fake-LQMSource Domain=HCM, Target Domain=LCM, Source Magnification=400x, Target Magnification=400x, Base Detector=Faster R-CNN, Backbone=ResNet-502021.11 | 31.8 | |
| Source onlySource Domain=HCM, Target Domain=LCM, Source Magnification=400x, Target Magnification=400x, Base Detector=Faster R-CNN, Backbone=ResNet-502021.11 | 26.7 | |
| Xu et al.Source Domain=HCM, Target Domain=LCM, Source Magnification=400x, Target Magnification=400x, Base Detector=Faster R-CNN, Backbone=ResNet-502021.11 | 21.6 | |
| Chen et al.Source Domain=HCM, Target Domain=LCM, Source Magnification=400x, Target Magnification=400x, Base Detector=Faster R-CNN, Backbone=ResNet-502021.11 | 21.5 | |
| Saito et al.Source Domain=HCM, Target Domain=LCM, Source Magnification=400x, Target Magnification=400x, Base Detector=Faster R-CNN, Backbone=ResNet-502021.11 | 21.4 |