Object Detection On Isaid
Metriken
Average Precision
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Average Precision | Paper Title | Repository |
|---|---|---|---|
| PANet | 41.66 | Path Aggregation Network for Instance Segmentation | |
| Mask-RCNN | 36.50 | Mask R-CNN | |
| PANet++ | 47.0 | iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images | - |
| Mask-RCNN+ | 37.18 | Mask R-CNN | |
| PANet+ | 46.31 | iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images | - |
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