Object Detection on Pascal VOC 2012 07++12 (test)
80.5mAPR-FCN
Evaluation results
| Method | Links | |
|---|---|---|
| R-FCNTraining Dataset=07+12, Eval Rate=9 Hz2017.03 | 80.5 | |
| R-FCNDataset=07++12, Eval. Rate=9 Hz2017.03 | 77.6 | |
| DeNet-101Training Dataset=07+12, Eval Rate=33 Hz, Variant=skip connections2017.03 | 77.1 | |
| DeNet-101Training Dataset=07+12, Eval Rate=34 Hz2017.03 | 77 | |
| SSD512Training Dataset=07+12, Eval Rate=23 Hz2017.03 | 76.8 | |
| RPN (ResNet)Training Dataset=07+12, Eval Rate=2 Hz, Backbone=ResNet2017.03 | 76.4 | |
| DeNet-34Training Dataset=07+12, Eval Rate=82 Hz, Variant=skip connections2017.03 | 75.9 | |
| DeNet-34Training Dataset=07+12, Eval Rate=83 Hz2017.03 | 75.3 | |
| SSD512Dataset=07++12, Eval. Rate=23 Hz2017.03 | 74.9 | |
| SSD300Training Dataset=07+12, Eval Rate=58 Hz2017.03 | 74.3 | |
| DeNet-101Dataset=07++12, Eval. Rate=33 Hz2017.03 | 73.9 | |
| RPN (ResNet)Dataset=07++12, Eval. Rate=2 Hz2017.03 | 73.8 | |
| RPN (VGG)Training Dataset=07+12, Eval Rate=7 Hz, Backbone=VGG2017.03 | 73.2 | |
| SSD300Dataset=07++12, Eval. Rate=58 Hz2017.03 | 72.4 | |
| DeNet-34Dataset=07++12, Eval. Rate=83 Hz2017.03 | 72.3 | |
| RPN (VGG)Dataset=07++12, Eval. Rate=7 Hz2017.03 | 70.4 | |
| YOLOTraining Dataset=07+12, Eval Rate=45 Hz2017.03 | 63.4 | |
| YOLODataset=07++12, Eval. Rate=45 Hz2017.03 | 57.9 | |
| Fast YOLOTraining Dataset=07+12, Eval Rate=155 Hz2017.03 | 52.7 |