Object Detection on VOC0712
84.9APGiT-H
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GiT-HBackbone=Huge, Training=Universal2024.03 | 84.9 | — | — | |
| GiT-LBackbone=Large, Training=Universal2024.03 | 83.6 | — | — | |
| GiT-BBackbone=Base, Training=Universal2024.03 | 79 | — | — | |
| KDEPData=100%, Epoch=18, Time (/h)=8.62022.03 | 47.2 | 76.3 | 50 | |
| KDEPData=100%, Epoch=9, Time (/h)=4.32022.03 | 47.1 | 76.3 | 49.6 | |
| KDEPData=10%, Epoch=180, Time (/h)=8.62022.03 | 47 | 75.9 | 49.9 | |
| KDEPData=10%, Epoch=900, Time (/h)=432022.03 | 47 | 76 | 49.8 | |
| KDEPData=100%, Epoch=90, Time (/h)=432022.03 | 46.8 | 76.5 | 49.4 | |
| KDEPData=10%, Epoch=90, Time (/h)=4.32022.03 | 46.7 | 75.7 | 49 | |
| SP. o.Data=100%, Epoch=90, Time (/h)=422022.03 | 45.5 | 75 | 47.6 | |
| SP. b.Data=10%, Epoch=900, Time (/h)=422022.03 | 44 | 73.1 | 45.6 | |
| SP. b.Data=100%, Epoch=18, Time (/h)=8.42022.03 | 43.7 | 72.6 | 45.4 | |
| KDEPData=10%, Epoch=180, Time (/h)=8, Teacher Backbone=ResNet-50, Student Backbone=ResNet-18, Evaluation Protocol=fine-tuned2022.03 | 43.4 | 73.8 | 43.8 | |
| KDEPData=100%, Epoch=18, Time (/h)=8, Teacher Backbone=ResNet-50, Student Backbone=ResNet-18, Evaluation Protocol=fine-tuned2022.03 | 43.3 | 73.6 | 44.2 | |
| SP. b.Data=100%, Epoch=9, Time (/h)=4.22022.03 | 43 | 71.9 | 44 | |
| SP. b.Data=10%, Epoch=180, Time (/h)=8.42022.03 | 43 | 71.4 | 45 | |
| KDEPData=10%, Epoch=900, Time (/h)=40, Teacher Backbone=ResNet-50, Student Backbone=ResNet-18, Evaluation Protocol=fine-tuned2022.03 | 42.8 | 73.5 | 43.4 | |
| KDEPData=100%, Epoch=90, Time (/h)=40, Teacher Backbone=ResNet-50, Student Backbone=ResNet-18, Evaluation Protocol=fine-tuned2022.03 | 42.8 | 73.9 | 43.4 | |
| SP. b.Data=10%, Epoch=90, Time (/h)=4.22022.03 | 42.5 | 71.3 | 44 | |
| KDEPData=100%, Epoch=9, Time (/h)=4, Teacher Backbone=ResNet-50, Student Backbone=ResNet-18, Evaluation Protocol=fine-tuned2022.03 | 42.5 | 73.3 | 43.3 | |
| KDEPData=10%, Epoch=90, Time (/h)=4, Teacher Backbone=ResNet-50, Student Backbone=ResNet-18, Evaluation Protocol=fine-tuned2022.03 | 41.9 | 72.4 | 41.7 | |
| SP. o.Data=100%, Epoch=90, Time (/h)=39, Teacher Backbone=ResNet-50, Student Backbone=ResNet-18, Evaluation Protocol=fine-tuned2022.03 | 41.8 | 72.6 | 41.6 | |
| SP. b.Data=100%, Epoch=18, Time (/h)=7.8, Teacher Backbone=ResNet-50, Student Backbone=ResNet-18, Evaluation Protocol=fine-tuned2022.03 | 41.2 | 71.5 | 40.7 | |
| SP. b.Data=100%, Epoch=9, Time (/h)=3.9, Teacher Backbone=ResNet-50, Student Backbone=ResNet-18, Evaluation Protocol=fine-tuned2022.03 | 40.4 | 70.5 | 40.2 | |
| SP. b.Data=10%, Epoch=90, Time (/h)=3.9, Teacher Backbone=ResNet-50, Student Backbone=ResNet-18, Evaluation Protocol=fine-tuned2022.03 | 39.8 | 69.7 | 39.1 | |
| SP. b.Data=10%, Epoch=180, Time (/h)=7.8, Teacher Backbone=ResNet-50, Student Backbone=ResNet-18, Evaluation Protocol=fine-tuned2022.03 | 39.4 | 69.6 | 38.7 | |
| SP. b.Data=10%, Epoch=900, Time (/h)=39, Teacher Backbone=ResNet-50, Student Backbone=ResNet-18, Evaluation Protocol=fine-tuned2022.03 | 39.3 | 69.9 | 38.8 | |
| rand. init.Fine-tuning=true, Pre-trained Backbone=None, Student Architecture=MobileNetV22022.03 | 31.4 | 56.7 | 30.2 | |
| rand. init.Teacher Backbone=ResNet-50, Student Backbone=ResNet-18, Evaluation Protocol=fine-tuned2022.03 | 26.7 | 52.5 | 23.1 |