Object Detection on ImageNet DET (test)
62.1mAPFaster R-CNN (ResNet-101, ensemble)
Evaluation results
| Method | Links | |
|---|---|---|
| Faster R-CNN (ResNet-101, ensemble)Backbone=ResNet-101, Protocol=ensemble, Competition=ILSVRC'152015.12 | 62.1 | |
| Faster R-CNN (ResNet-101)Backbone=ResNet-101, Protocol=single model, Competition=ILSVRC'152015.12 | 58.8 | |
| GoogLeNetCompetition=ILSVRC'142015.12 | 43.9 | |
| PCL-OB-G-Ens.+FRCNNMode=Ensemble + FRCNN, Detector=Faster R-CNN2018.07 | 19.6 | |
| PCL-OB-G-Ens.Mode=Ensemble, Components=VGG M and VGG162018.07 | 18.8 | |
| PCL-OB-G-VGG16Backbone=VGG162018.07 | 18.4 | |
| WCCN2018.07 | 16.3 | |
| PCL-OB-G-VGG MBackbone=VGG M2018.07 | 14.4 | |
| Li et al.2018.07 | 10.8 | |
| Ren et al.2018.07 | 9.6 |