Object Detection on Car (P, R, AP50)
96.55Precision (P)ECFNet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| ECFNetFLOPs=31.7, Params=22.7, FPS=902026.06 | 96.55 | 92.16 | 96.06 | |
| YOLOv12-LPub’Year=NeurIPS’25, FLOPs=88.9, Params=26.4, FPS=762026.06 | 96.09 | 82.87 | 91.94 | |
| YOLO11-LPub’Year=2024, FLOPs=86.6, Params=25.3, FPS=782026.06 | 96.04 | 85.35 | 92.33 | |
| DINOPub’Year=ICLR’23, FLOPs=398.6, Params=47.0, FPS=262026.06 | 95.62 | 87.13 | 92.46 | |
| ESOD-LPub’Year=TIP’25, FLOPs=38.1, Params=72.8, FPS=862026.06 | 94.75 | 91.73 | 93.32 | |
| D-FINE-LPub’Year=ICLR’25, FLOPs=90.7, Params=30.6, FPS=402026.06 | 94.38 | 91.63 | 93.68 | |
| EFLNetPub’Year=TGRS’24, FLOPs=102.2, Params=38.3, FPS=692026.06 | 93.18 | 90.53 | 92.92 | |
| DQ-DETRPub’Year=ECCV’24, FLOPs=578.5, Params=58.7, FPS=182026.06 | 88.83 | 74.75 | 83.15 | |
| DAGNetPub’Year=TII’23, FLOPs=170.7, Params=150.5, FPS=402026.06 | 83.59 | 86.43 | 84.86 | |
| QueryDetPub’Year=CVPR’22, FLOPs=888.4, Params=35.3, FPS=92026.06 | 75.81 | 80.28 | 76.37 |