Semantic Segmentation on Cityscapes 80-20 (val)
84.05AccuracyLOOPE
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| LOOPEModel=Segmenter2025.04 | 84.05 | 82.26 | 87.31 | 32.21 | 86.37 | |
| LOOPEModel=SETR2025.04 | 83.63 | 81.37 | 86.17 | 7.44 | 89.56 | |
| LFF(Fourier)Model=Segmenter2025.04 | 83.2 | 81.41 | 86.46 | 26.6 | 85.51 | |
| LFF(Fourier)Model=SETR2025.04 | 82.69 | 80.41 | 85.2 | 7.83 | 85.64 | |
| 1D SinusoidModel=Segmenter2025.04 | 81.82 | 80.59 | 85.79 | 18.37 | 84.74 | |
| LearnableModel=Segmenter2025.04 | 81.48 | 80.46 | 85.73 | 15.33 | 84.68 | |
| LearnableModel=SETR2025.04 | 81.35 | 74.41 | 79.26 | 3.88 | 88.87 | |
| 1D SinusoidModel=SETR2025.04 | 80.96 | 78.33 | 82.51 | 3.55 | 91.99 | |
| 2D SinusoidModel=Segmenter2025.04 | 80.93 | 79.9 | 85.13 | 9.58 | 84.08 | |
| No PEModel=SETR2025.04 | 80.84 | 79.56 | 84.53 | 3.48 | 88.75 | |
| 2D SinusoidModel=SETR2025.04 | 80.74 | 78.26 | 82.46 | 3.04 | 91.88 | |
| CPEModel=SETR2025.04 | 80.67 | 78.42 | 82.71 | 3.31 | 87.26 | |
| No PEModel=Segmenter2025.04 | 79.55 | 79.13 | 84.48 | 6.23 | 83.34 | |
| CPEModel=Segmenter2025.04 | 79.19 | 78.71 | 84 | 8.8 | 82.89 |