CLRNetV2 (ResNet34)
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 score79.94best: 81.23 (DLNet)
- Accuracy96.88best: 98.38 (SCNN_UNet_Attention_PL*)
- F1 score97.95
Computer Vision3 results
- F1 score79.94best: 81.23 (DLNet)
- Accuracy96.88best: 98.38 (SCNN_UNet_Attention_PL*)
- F1 score97.95