2D Object Detection On Ceymo
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mAP
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | mAP | Paper Title | Repository |
|---|---|---|---|
| TransMind | 70.7 | Open-TransMind: A New Baseline and Benchmark for 1st Foundation Model Challenge of Intelligent Transportation | |
| Sparse R-CNN | 47.3 | Sparse R-CNN: End-to-End Object Detection with Learnable Proposals | |
| YOLOv7 | 69.5 | YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors | |
| TOOD | 65.6 | TOOD: Task-aligned One-stage Object Detection | |
| YOLOX | 57.7 | YOLOX: Exceeding YOLO Series in 2021 |
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