Orientation Estimation on ITODD (ViVo)
4.6ARCSARR–Gray
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SARR–GrayTraining=RGB2Gray: S, Test=Gray, Scope=dataset, Model=✗, Symmetry=representation2026.04 | 4.6 | 15.4 | 0.073 | |
| SARR–GrayTraining=RGB2Gray: S, Test=Gray, Scope=dataset*, Model=✗, Symmetry=representation2026.04 | 6.6 | 24.2 | 0.082 | |
| SARR–GrayTraining=RGB2Gray: S, Test=Gray, Scope=symmetry, Model=✗, Symmetry=representation2026.04 | 8.1 | 28.7 | 0.088 | |
| SARR–GrayTraining=RGB2Gray: S, Test=Gray, Scope=object, Model=✗, Symmetry=representation2026.04 | 14.2 | 33.7 | 0.08 | |
| Cai et al. (2022)Training=RGB: S, Test=RGB, Scope=dataset, Model=✗, Symmetry=network2026.04 | 30.6 | 82 | 0.053 | |
| SARR–DepthTraining=D: S, Test=D, Scope=object, Model=✗, Symmetry=representation2026.04 | 42.1 | 67.7 | 0.071 | |
| SARR–DepthTraining=D: S, Test=D, Scope=dataset, Model=✗, Symmetry=representation2026.04 | 42.1 | 65.1 | 0.066 | |
| SARR–DepthTraining=D: S, Test=D, Scope=symmetry, Model=✗, Symmetry=representation2026.04 | 43 | 63.7 | 0.079 | |
| SARR–DepthTraining=D: S, Test=D, Scope=dataset*, Model=✗, Symmetry=representation2026.04 | 48.1 | 71.1 | 0.078 |