CLRNetV2 (ResNet18)
Reported on 6 benchmarks across 2 tasks
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Robots3 results
- F1 score79.68best: 81.23 (DLNet)
- Accuracy96.99best: 98.38 (SCNN_UNet_Attention_PL*)
- F1 score97.9best: 97.95 (CLRNetV2 (ResNet34))
Computer Vision3 results
- F1 score79.68best: 81.23 (DLNet)
- Accuracy96.99best: 98.38 (SCNN_UNet_Attention_PL*)
- F1 score97.9best: 97.95 (CLRNetV2 (ResNet34))