Object Detection on PASCAL VOC 07+12 (trainval)
83.7AP@50MoCo V2 Anistropic
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| MoCo V2 AnistropicPre-training Dataset=ImageNet, Backbone=ResNet-50 (C4), Augmentation=Anisotropic diffusion, Evaluation Protocol=Fine-tuned Faster R-CNN C42020.11 | 83.7 | 58.2 | 64.8 | — | |
| Dense-CL AnistropicPre-training Dataset=ImageNet, Backbone=ResNet-50 (C4), Augmentation=Anisotropic diffusion, Evaluation Protocol=Fine-tuned Faster R-CNN C42020.11 | 83.5 | 59.6 | 66.4 | — | |
| Dense-CL CC AnistropicPre-training Dataset=COCO, Backbone=ResNet-50 (C4), Augmentation=Anisotropic diffusion, Evaluation Protocol=Fine-tuned Faster R-CNN C42020.11 | 83.1 | 57.9 | 64.2 | — | |
| Dense-CLPre-training Dataset=ImageNet, Backbone=ResNet-50 (C4), Evaluation Protocol=Fine-tuned Faster R-CNN C42020.11 | 82.8 | 58.7 | 65.2 | — | |
| MoCo V2Pre-training Dataset=ImageNet, Backbone=ResNet-50 (C4), Evaluation Protocol=Fine-tuned Faster R-CNN C42020.11 | 82.4 | 57 | 63.6 | — | |
| Dense-CL CCPre-training Dataset=COCO, Backbone=ResNet-50 (C4), Evaluation Protocol=Fine-tuned Faster R-CNN C42020.11 | 81.7 | 56.7 | 63 | — | |
| Supervised ImageNetPre-training Dataset=ImageNet, Evaluation Protocol=Fine-tuned Faster R-CNN C42020.11 | 81.6 | 54.2 | 59.8 | — | |
| ARSL2023.03 | 80.4 | — | — | 56.4 | |
| Dense Teacher2023.03 | 79.89 | — | — | 55.87 | |
| Instant Teaching2023.03 | 79.2 | — | — | 50 | |
| STAC2023.03 | 77.45 | — | — | 44.64 | |
| Unbiased Teacher2023.03 | 77.37 | — | — | 48.69 | |
| ISMT2023.03 | 77.23 | — | — | 46.23 | |
| CSD2023.03 | 74.7 | — | — | — | |
| Faster RCNNSupervision=Supervised2023.03 | 72.75 | — | — | 42.04 | |
| FCOSSupervision=Supervised2023.03 | 71.36 | — | — | 45.52 | |
| Stylized ImageNetPre-training Dataset=ImageNet, Evaluation Protocol=Fine-tuned Faster R-CNN C42020.11 | 43.5 | 28.8 | 33.7 | — |