Real Time Object Detection On Pascal Voc 2007
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FPS
MAP
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | FPS | MAP | Paper Title | Repository |
|---|---|---|---|---|
| BlitzNet512 (s4) | 24 | 79.1% | BlitzNet: A Real-Time Deep Network for Scene Understanding | |
| R-FCN | 9 | 80.5% | R-FCN: Object Detection via Region-based Fully Convolutional Networks | |
| BlitzNet512 (s8) | 19.5 | 81.5% | BlitzNet: A Real-Time Deep Network for Scene Understanding | |
| YOLO | 46.0 | 63.4% | You Only Look Once: Unified, Real-Time Object Detection |
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