Semantic Segmentation on NWPU Traffic (test)
98.73Background AccuracyCSPNet
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| CSPNetFLOPs (G)=118.7, Params (M)=29.62026.07 | 98.73 | 84.52 | 48.91 | 80.07 | 55.3 | 73.5 | 98.76 | 83.36 | |
| Deeplabv3+FLOPs (G)=185.6, Params (M)=41.22026.07 | 98.66 | 86.02 | 45.06 | 74.66 | 56.59 | 72.19 | 98.69 | 82.34 | |
| CMLFormerFLOPs (G)=148.5, Params (M)=38.42026.07 | 98.64 | 85.67 | 48.82 | 78.43 | 53.22 | 72.95 | 98.68 | 83.18 | |
| GCBNetFLOPs (G)=156.8, Params (M)=35.72026.07 | 98.48 | 85.03 | 48.28 | 75.18 | 40.55 | 69.5 | 98.51 | 79.95 | |
| FSELFLOPs (G)=126.9, Params (M)=31.52026.07 | 98.47 | 84.54 | 30.88 | 72.35 | 50.14 | 67.28 | 98.5 | 80.51 | |
| ScaleformerFLOPs (G)=134.2, Params (M)=32.82026.07 | 98.22 | 74.45 | 33.49 | 64.74 | 46.37 | 63.45 | 98.25 | 75.32 | |
| UNetFormerFLOPs (G)=112.7, Params (M)=30.12026.07 | 97.98 | 78.91 | 32.2 | 66.73 | 22.28 | 59.62 | 98.01 | 70.48 | |
| ABCNetFLOPs (G)=98.3, Params (M)=28.52026.07 | 97.86 | 77.63 | 29.57 | 64.75 | 17.28 | 57.42 | 97.89 | 68.01 |