6D Pose Estimation On Occlusion
Metriken
MAP
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | MAP | Paper Title | Repository |
|---|---|---|---|
| Single-shot deep CNN | 0.48 | Real-Time Seamless Single Shot 6D Object Pose Prediction | |
| SSD-6D | 0.38 | SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again |
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