Depth Estimation on Cityscapes (test)
0.0125Abs ErrSTL
Evaluation results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| STL2023.05 | 0.0125 | 27.77 | — | — | — | — | — | — | — | — | — | — | — | |
| STLlearning_mode=single-task2022.02 | 0.0125 | 27.77 | — | — | — | — | — | — | — | — | — | — | — | |
| Nash-MTL2023.05 | 0.0129 | 35.02 | — | — | — | — | — | — | — | — | — | — | — | |
| Nash-MTLlearning_mode=multi-task2022.02 | 0.0129 | 35.02 | — | — | — | — | — | — | — | — | — | — | — | |
| IMTL-G2023.05 | 0.0135 | 38.41 | — | — | — | — | — | — | — | — | — | — | — | |
| IMTL-Glearning_mode=multi-task, implementation=feature-level gradients2022.02 | 0.0135 | 38.41 | — | — | — | — | — | — | — | — | — | — | — | |
| SDMGrad2023.05 | 0.0137 | 34.01 | — | — | — | — | — | — | — | — | — | — | — | |
| UW2023.05 | 0.014 | 30.13 | — | — | — | — | — | — | — | — | — | — | — | |
| UWlearning_mode=multi-task2022.02 | 0.014 | 30.13 | — | — | — | — | — | — | — | — | — | — | — | |
| CAGrad2023.05 | 0.0141 | 37.6 | — | — | — | — | — | — | — | — | — | — | — | |
| CAGradlearning_mode=multi-task2022.02 | 0.0141 | 37.6 | — | — | — | — | — | — | — | — | — | — | — | |
| EDNAS#P=4.3M, GFLOP=4.1, Speed=x1.3, Resolution=256x256, Multi-task=true2022.10 | 0.0143 | 31.6 | 8.9 | 6.9 | 7.9 | 8.5 | — | — | — | — | — | — | — | |
| EDNAS+JAReD#P=4.3M, GFLOP=4.1, Speed=x1.3, Resolution=256x256, Multi-task=true2022.10 | 0.0143 | 28.1 | 9.1 | 17.4 | 13.3 | 10.9 | — | — | — | — | — | — | — | |
| FAMO2023.05 | 0.0145 | 32.59 | — | — | — | — | — | — | — | — | — | — | — | |
| MoCo2023.05 | 0.0149 | 34.19 | — | — | — | — | — | — | — | — | — | — | — | |
| Cross-Stitch#P=42.6M, GFLOP=48.4, Resolution=256x256, Multi-task=true2022.10 | 0.015 | 30 | 11.8 | 9.1 | 10.4 | 5.1 | — | — | — | — | — | — | — | |
| MTAN#P=51.3M, GFLOP=57.9, Resolution=256x256, Multi-task=true2022.10 | 0.015 | 32 | 11.8 | 3 | 7.4 | 3.9 | — | — | — | — | — | — | — | |
| PCGrad2023.05 | 0.0154 | 42.07 | — | — | — | — | — | — | — | — | — | — | — | |
| PCGradlearning_mode=multi-task2022.02 | 0.0154 | 42.07 | — | — | — | — | — | — | — | — | — | — | — | |
| LS2023.05 | 0.0155 | 46.77 | — | — | — | — | — | — | — | — | — | — | — | |
| LSlearning_mode=multi-task2022.02 | 0.0155 | 46.77 | — | — | — | — | — | — | — | — | — | — | — | |
| GradDrop2023.05 | 0.0157 | 47.54 | — | — | — | — | — | — | — | — | — | — | — | |
| GradDroplearning_mode=multi-task2022.02 | 0.0157 | 47.54 | — | — | — | — | — | — | — | — | — | — | — | |
| ST edge baseline#P=3.4M, GFLOP=2.3, Speed=x1.0, Resolution=256x256, Multi-task=false2022.10 | 0.0157 | 34 | — | — | — | — | — | — | — | — | — | — | — | |
| RLW2023.05 | 0.0158 | 47.79 | — | — | — | — | — | — | — | — | — | — | — | |
| RLWlearning_mode=multi-task2022.02 | 0.0158 | 47.79 | — | — | — | — | — | — | — | — | — | — | — | |
| MoDo2023.05 | 0.0159 | 41.51 | — | — | — | — | — | — | — | — | — | — | — | |
| DWA2023.05 | 0.016 | 44.37 | — | — | — | — | — | — | — | — | — | — | — | |
| DWAlearning_mode=multi-task2022.02 | 0.016 | 44.37 | — | — | — | — | — | — | — | — | — | — | — | |
| Sluice#P=42.6M, GFLOP=48.4, Resolution=256x256, Multi-task=true2022.10 | 0.016 | 31 | 5.9 | 6.1 | 6 | 2.6 | — | — | — | — | — | — | — | |
| AdaShare#P=21.3M, GFLOP=87.1, Resolution=256x256, Multi-task=true2022.10 | 0.016 | 33 | 5.9 | 0 | 2.9 | 2.3 | — | — | — | — | — | — | — | |
| SI2023.05 | 0.0161 | 33.83 | — | — | — | — | — | — | — | — | — | — | — | |
| SIlearning_mode=multi-task2022.02 | 0.0161 | 33.83 | — | — | — | — | — | — | — | — | — | — | — | |
| ST baseline#P=42.6M, GFLOP=87.1, Resolution=256x256, Multi-task=false2022.10 | 0.017 | 33 | — | — | — | — | — | — | — | — | — | — | — | |
| NDDR-CNN#P=44.1M, GFLOP=50.1, Resolution=256x256, Multi-task=true2022.10 | 0.017 | 31 | 0 | 6.1 | 3 | 2.2 | — | — | — | — | — | — | — | |
| DEN#P=23.9M, GFLOP=51.2, Resolution=256x256, Multi-task=true2022.10 | 0.017 | 37 | 0 | -12.1 | -6.1 | -4.6 | — | — | — | — | — | — | — | |
| MT edge baseline#P=3.4M, GFLOP=1.2, Speed=x1.2, Resolution=256x256, Multi-task=true2022.10 | 0.0171 | 35.4 | -8.5 | -4.1 | -6.3 | -4.1 | — | — | — | — | — | — | — | |
| MT baseline#P=21.3M, GFLOP=43.6, Resolution=256x256, Multi-task=true2022.10 | 0.018 | 34 | -5.9 | -3 | -4.5 | -4.1 | — | — | — | — | — | — | — | |
| MGDA2023.05 | 0.0309 | 33.5 | — | — | — | — | — | — | — | — | — | — | — | |
| MGDAlearning_mode=multi-task2022.02 | 0.0309 | 33.5 | — | — | — | — | — | — | — | — | — | — | — | |
| ControlNetPSNR=10 dB2023.06 | — | — | — | — | — | — | — | — | 199.211 | — | — | — | — | |
| DynamicDepthAdditional network=M, S, Test frames=2 (-1, 0)2024.12 | — | — | — | — | — | — | 0.104 | 1.009 | 5.991 | 0.15 | 88.9 | 97.2 | 99.1 | |
| GESCOPSNR=10 dB2023.06 | — | — | — | — | — | — | — | — | 14.53 | — | — | — | — | |
| Gordon et al.Independent Motion=true, Semantics=true, Number of frames=12024.09 | — | — | — | — | — | — | 0.127 | 1.33 | 6.96 | 0.195 | 83 | 94.7 | 98.1 | |
| Li et al.Additional network=None, Test frames=12024.12 | — | — | — | — | — | — | 0.119 | 1.29 | 6.98 | 0.19 | 84.6 | 95.2 | 98.2 | |
| ManyDepthAdditional network=M, Test frames=2 (-1, 0)2024.12 | — | — | — | — | — | — | 0.114 | 1.193 | 6.223 | 0.17 | 87.5 | 96.7 | 98.9 | |
| ManyDepthIndependent Motion=true, Semantics=false, Number of frames=22024.09 | — | — | — | — | — | — | 0.114 | 1.193 | 6.223 | 0.17 | 87.5 | 96.7 | 98.9 | |
| Monodepth2Additional network=None, Test frames=12024.12 | — | — | — | — | — | — | 0.129 | 1.569 | 6.876 | 0.187 | 84.9 | 95.7 | 98.3 | |
| OursIndependent Motion=true, Semantics=true, Number of frames=12024.09 | — | — | — | — | — | — | 0.106 | 1.033 | 5.913 | 0.158 | 88.8 | 97.4 | 98.2 | |
| RM-DepthIndependent Motion=true, Semantics=false, Number of frames=12024.09 | — | — | — | — | — | — | 0.1 | 0.839 | 5.774 | 0.154 | 89.5 | 97.6 | 99.3 | |
| Semantic MapPSNR=10 dB2023.06 | — | — | — | — | — | — | — | — | 208.984 | — | — | — | — | |
| SMISPSNR=10 dB2023.06 | — | — | — | — | — | — | — | — | 44.102 | — | — | — | — | |
| Struct2DepthIndependent Motion=true, Semantics=true, Number of frames=12024.09 | — | — | — | — | — | — | 0.145 | 1.737 | 7.28 | 0.205 | 81.3 | 94.2 | 97.8 | |
| Struct2Depth 2Additional network=None, Test frames=12024.12 | — | — | — | — | — | — | 0.145 | 1.737 | 7.28 | 0.205 | 81.3 | 94.2 | 97.6 | |
| Struct2Depth 2Additional network=M, F, Test frames=3 (-1, 0, 1)2024.12 | — | — | — | — | — | — | 0.151 | 2.492 | 7.024 | 0.202 | 82.6 | 93.7 | 97.2 | |
| Videos in the WildAdditional network=None, Test frames=12024.12 | — | — | — | — | — | — | 0.127 | 1.33 | 6.96 | 0.195 | 83 | 94.7 | 98.1 | |
| ZeroCo-depthAdditional network=None, Test frames=2 (-1, 0)2024.12 | — | — | — | — | — | — | 0.105 | 1.05 | 6.117 | 0.162 | 88.9 | 97.3 | 99.1 | |
| Zhong et al.Independent Motion=true, Semantics=false, Number of frames=22024.09 | — | — | — | — | — | — | 0.098 | 0.946 | 5.553 | 0.148 | 90.8 | 97.7 | 99.2 |