Table 1 Slim-YOLO vs. baseline.
From: An effective method for small objects detection based on MDFFAM and LKSPP
Models | Param. (M) | FLOPs (G) | mAP50 (%) |
|---|---|---|---|
Slim-YOLO | 34.6 | 76.8 | 71.7 |
YOLOv3 | 61.5 | 154.6 | 70.4 |
YOLOv3-SPP5 | 62.6 | 155.5 | 69.4 |
YOLOv4-CSP6 | 52.5 | 119 | 66.9 |
YOLOv7 | 36.5 | 103.2 | 71.2 |
YOLOv5L42 | 46.1 | 107.7 | 69.9 |
YOLOR-CSP-X46 | 96.4 | 224.9 | 57.9 |
YOLOR-CSP46 | 52.5 | 119.0 | 60.6 |
YOLOR-D646 | 150.9 | 232.0 | 29.4 |
YOLOR-P646 | 36.8 | 80.2 | 24.6 |
YOLOR-W646 | 79.3 | 111.9 | 58.9 |
YOLOR-E646 | 115.1 | 168.9 | 38.1 |
