Semantic Segmentation on PASCAL VOC 2012 (trainval)
70.5mIoUDense-CL Anistropic
Evaluation Results
| Method | Links | |
|---|---|---|
| Dense-CL AnistropicPre-training Dataset=ImageNet, Backbone=ResNet-50, Augmentation=Anisotropic diffusion, Evaluation Protocol=[38]2020.11 | 70.5 | |
| Dense-CLPre-training Dataset=ImageNet, Backbone=ResNet-50, Evaluation Protocol=[38]2020.11 | 69.4 | |
| Dense-CL CC AnistropicPre-training Dataset=COCO, Backbone=ResNet-50, Augmentation=Anisotropic diffusion, Evaluation Protocol=[38]2020.11 | 68.6 | |
| MoCo V2 AnistropicPre-training Dataset=ImageNet, Backbone=ResNet-50, Augmentation=Anisotropic diffusion, Evaluation Protocol=[38]2020.11 | 67.8 | |
| MoCo V2Pre-training Dataset=ImageNet, Backbone=ResNet-50, Evaluation Protocol=[38]2020.11 | 67.5 | |
| Dense-CL CCPre-training Dataset=COCO, Backbone=ResNet-50, Evaluation Protocol=[38]2020.11 | 67.5 | |
| Supervised ImageNetPre-training Dataset=ImageNet, Evaluation Protocol=[38]2020.11 | 59.8 |