Object Detection On Waymo 2D Detection All Ns 1
Métriques
COCO-style AP
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | COCO-style AP | Paper Title | Repository |
|---|---|---|---|
| DETR | 17.8 | USB: Universal-Scale Object Detection Benchmark | |
| UniverseNet-20.08 | 39.0 | USB: Universal-Scale Object Detection Benchmark | |
| YOLOX-L | 41.6 | USB: Universal-Scale Object Detection Benchmark | |
| ATSS+DyHead | 37.1 | USB: Universal-Scale Object Detection Benchmark | |
| GFL | 35.7 | USB: Universal-Scale Object Detection Benchmark | |
| Faster R-CNN | 34.5 | USB: Universal-Scale Object Detection Benchmark | |
| ATSS | 35.4 | USB: Universal-Scale Object Detection Benchmark | |
| UniverseNet | 38.6 | USB: Universal-Scale Object Detection Benchmark | |
| ATSS (Swin-T) | 37.2 | USB: Universal-Scale Object Detection Benchmark | |
| Sparse R-CNN | 32.8 | USB: Universal-Scale Object Detection Benchmark | |
| Cascade R-CNN | 36.4 | USB: Universal-Scale Object Detection Benchmark | |
| Deformable DETR | 32.7 | USB: Universal-Scale Object Detection Benchmark | |
| ATSS (ConvNeXt-T) | 38.3 | USB: Universal-Scale Object Detection Benchmark | |
| ATSS+SEPC | 35.0 | USB: Universal-Scale Object Detection Benchmark | |
| RetinaNet | 32.5 | USB: Universal-Scale Object Detection Benchmark |
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