| Benchmark: |
UAV-Crack |
| Short name: |
DeepLabV3Plus-R34 |
| Long name: |
DeepLabV3+ with ResNet34 for UAV Crack Segmentation |
| Description: |
DeepLabV3+ semantic segmentation model with a ResNet32 encoder pretrained on the ImageNet dataset. For binary UAV pavement crack segmentation, the model was trained with BSEWithLogits and Dice loss.Predictions were made using a threshold of 0.50 |
| Reference: |
N/A
|
| Last submitted: |
September 19, 2026
|
| Published: |
September 19, 2026 at 19:08:01 |
| Submissions: |
1 |
| Project page / code: |
N/A
|
| Open source: |
No |