Panoptic Segmentation On Semantickitti
Metriken
PQ
PQ_dagger
PQst
PQth
RQ
RQst
RQth
SQ
SQst
SQth
mIoU
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | PQ | PQ_dagger | PQst | PQth | RQ | RQst | RQth | SQ | SQst | SQth | mIoU | Paper Title | Repository |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P3Former | 0.649 | 0.7 | 0.633 | 0.671 | 0.759 | 0.772 | 0.741 | 0.849 | 0.807 | 0.906 | 0.683 | Position-Guided Point Cloud Panoptic Segmentation Transformer | |
| DS-Net | 0.559 | 0.625 | 0.565 | 0.551 | 0.667 | 0.695 | 0.628 | 0.823 | 0.787 | 0.872 | 0.616 | LiDAR-based Panoptic Segmentation via Dynamic Shifting Network |
0 of 2 row(s) selected.