[ICCV2021]
The code includes training and inference procedures for CDNet.
Tips: There is a result written mistake (U-Net) in Table 4 in the original paper. The correct result is：
| Method Name | Dice | AJI |
|---|---|---|
| U-Net | 0.8184 | 0.5910 |
| Mask-RCNN | 0.7600 | 0.5460 |
| DCAN | 0.7920 | 0.5250 |
| Micro-Net | 0.7970 | 0.5600 |
| DIST | 0.7890 | 0.5590 |
| CIA-Net | 0.8180 | 0.6200 |
| U-Net | 0.8027 | 0.6039 |
| Hover-Net | 0.8260 | 0.6180 |
| BRP-Net | - | 0.6422 |
| PFF-Net | 0.8091 | 0.6107 |
| Our CDNet | 0.8316 | 0.6331 |
cd CDNet/
python train.py
cd CDNet/
python test.py