Semantic Segmentation on Bedroom dataset
89.47Bed AccuracyDMP
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DMP2023.11 | 89.47 | 85.06 | 58.71 | 36.45 | 63.99 | 44.14 | 83.38 | 73.35 | 74.9 | 67.35 | 74.09 | 61.27 | |
| SPADE2023.11 | 86.77 | 63.7 | 58.61 | 34.73 | 36.59 | 20.84 | 69.25 | 56.27 | 52.49 | 38.26 | 60.74 | 42.76 | |
| DRIT++2023.11 | 84.85 | 45.87 | 24.27 | 14.35 | 12.18 | 7.76 | 30.23 | 24.14 | 25.79 | 21.14 | 35.46 | 22.65 | |
| DDIB2023.11 | 39.84 | 30.4 | 22.56 | 6.37 | 16.3 | 5.93 | 47.41 | 28.96 | 17.28 | 8.81 | 28.68 | 16.09 | |
| SDEdit2023.11 | 9.58 | 9.01 | 38.24 | 8.64 | 15.22 | 6.51 | 45.01 | 25.93 | 13.33 | 7.46 | 24.28 | 11.51 | |
| IP2Ptraining=learned2023.11 | 7.14 | 6.2 | 0.86 | 0.42 | 2.28 | 1.16 | 35.32 | 16.99 | 3.86 | 1.92 | 9.89 | 5.34 | |
| VISII2023.11 | 0.6 | 0.59 | 2.61 | 1.36 | 0.14 | 0.11 | 25.76 | 17.72 | 0.13 | 0.12 | 5.85 | 3.98 |