代码拉取完成，页面将自动刷新
同步操作将从 PaddlePaddle/PaddleSeg 强制同步，此操作会覆盖自 Fork 仓库以来所做的任何修改，且无法恢复！！！
确定后同步将在后台操作，完成时将刷新页面，请耐心等待。
Ronneberger O, Fischer P, Brox T. U-net: Convolutional networks for biomedical image segmentation[C]//International Conference on Medical image computing and computer-assisted intervention. Springer, Cham, 2015: 234-241.
| Model | Backbone | Resolution | Training Iters | Batch Size | mIoU | mIoU (flip) | mIoU (ms+flip) | Links |
|---|---|---|---|---|---|---|---|---|
| UNet | - | 1024x512 | 160000 | 4 | 65.00% | 66.02% | 66.89% | model | log | vdl |
| Model | Backbone | Resolution | Training Iters | Batch Size | AUC ROC | DICE | mIoU | Links |
|---|---|---|---|---|---|---|---|---|
| UNet | - | 128x128 | 40000 | 16 | 95.93% | 90.43% | 83.54% | model | log | vdl |
| Model | Backbone | Resolution | Training Iters | Batch Size | AUC ROC | DICE | mIoU | Links |
|---|---|---|---|---|---|---|---|---|
| UNet | - | 128x128 | 40000 | 16 | 95.58% | 89.50% | 82.12% | model | log | vdl |
| Model | Backbone | Resolution | Training Iters | Batch Size | AUC ROC | DICE | mIoU | Links |
|---|---|---|---|---|---|---|---|---|
| UNet | - | 128x128 | 40000 | 16 | 95.69% | 88.54% | 80.87% | model | log | vdl |
| Model | Backbone | Resolution | Training Iters | Batch Size | AUC ROC | DICE | mIoU | Links |
|---|---|---|---|---|---|---|---|---|
| UNet | - | 256x256 | 40000 | 16 | 93.39% | 86.83% | 78.45% | model | log | vdl |
此处可能存在不合适展示的内容，页面不予展示。您可通过相关编辑功能自查并修改。
如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容，可点击提交进行申诉，我们将尽快为您处理。
