Object Detection on Roboflow-100
65.52PrecisionYOLOv5n + RFCBAMConv(r)
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| YOLOv5n + RFCBAMConv(r)FLOPS (G)=4.5, Param (M)=1.82023.04 | 65.52 | 60.42 | 57.91 | 35.56 | |
| YOLOv5n + RFCAonv(r)FLOPS (G)=4.6, Param (M)=1.82023.04 | 65.44 | 60.31 | 57.85 | 35.37 | |
| YOLOv5n + RFAConv(r)FLOPS (G)=4.5, Param (M)=1.82023.04 | 65.32 | 60.15 | 57.24 | 35.16 | |
| YOLOv5n + CAConv(r)FLOPS (G)=4.3, Param (M)=1.72023.04 | 65.01 | 59.5 | 57.01 | 34.81 | |
| YOLOv5n + HAMConv(r)FLOPS (G)=4.3, Param (M)=1.82023.04 | 65.01 | 59.93 | 56.84 | 34.67 | |
| YOLOv5nFLOPS (G)=4.2, Param (M)=1.72023.04 | 64.85 | 59.09 | 56.52 | 34.28 | |
| YOLOv5n + MCAConv(r)FLOPS (G)=4.2, Param (M)=1.82023.04 | 64.8 | 59.6 | 56.57 | 34.35 | |
| YOLOv5n + CBAMConv(r)FLOPS (G)=4.3, Param (M)=1.72023.04 | 64.55 | 58.92 | 56.4 | 34.6 | |
| YOLOv5n + CAMConv(r)FLOPS (G)=4.2, Param (M)=1.72023.04 | 64.01 | 59.89 | 56.53 | 34.44 | |
| YOLOv5n + TAConv(r)FLOPS (G)=4.5, Param (M)=1.82023.04 | 63.99 | 58.25 | 56.23 | 33.99 |