Object Detection on VOC 07+12 train val (test)
83.4AP50SANE-Multi (strong)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SANE-Multi (strong)Protocol=Fine-tuning, Backbone=ResNet-50, Library=detectron22021.06 | 83.4 | — | |
| CLSA-Multi(strong)Protocol=Fine-tuning, Backbone=ResNet-50, Library=detectron22021.06 | 83.2 | — | |
| SANE-MultiProtocol=Fine-tuning, Backbone=ResNet-50, Library=detectron22021.06 | 82.9 | — | |
| CO2Protocol=Fine-tuning, Backbone=ResNet-50, Library=detectron22021.06 | 82.7 | — | |
| i-MixProtocol=Fine-tuning, Backbone=ResNet-50, Library=detectron22021.06 | 82.7 | — | |
| SWAV-MultiProtocol=Fine-tuning, Backbone=ResNet-50, Library=detectron22021.06 | 82.6 | — | |
| MoCo v2Protocol=Fine-tuning, Backbone=ResNet-50, Library=detectron22021.06 | 82.5 | — | |
| MoCoProtocol=Fine-tuning, Backbone=ResNet-50, Library=detectron22021.06 | 81.5 | — | |
| BoWNetProtocol=Fine-tuning, Backbone=ResNet-50, Library=detectron22021.06 | 81.3 | — | |
| SupervisedProtocol=Fine-tuning, Backbone=ResNet-50, Library=detectron22021.06 | 81.3 | — | |
| PIRLProtocol=Fine-tuning, Backbone=ResNet-50, Library=detectron22021.06 | 80.7 | — | |
| NPID++Protocol=Fine-tuning, Backbone=ResNet-50, Library=detectron22021.06 | 79.1 | — | |
| DSOD300Backbone=DenseNet-67, FLOPS (G)=5.3, FPS (img/s)=35, #Param (M)=5.9, Memory footprint (MB)=1294, Energy Efficiency (J/img)=3.7, Computation Efficiency (GFLOP/s)=1892019.04 | — | 73.6 | |
| DSOD300Backbone=VoVNet-27-slim, FLOPS (G)=5.6, FPS (img/s)=71, #Param (M)=5.9, Memory footprint (MB)=825, Energy Efficiency (J/img)=0.9, Computation Efficiency (GFLOP/s)=4002019.04 | — | 74.8 | |
| Pelee304Backbone=PeleeNet, FLOPS (G)=1.2, FPS (img/s)=35, #Param (M)=5.4, Memory footprint (MB)=1104, Energy Efficiency (J/img)=2.4, Computation Efficiency (GFLOP/s)=432019.04 | — | 70.9 | |
| SSD300Backbone=MobileNet, FLOPS (G)=1.1, FPS (img/s)=37, #Param (M)=5.7, Memory footprint (MB)=766, Energy Efficiency (J/img)=2.3, Computation Efficiency (GFLOP/s)=422019.04 | — | 68 |