Video Depth Estimation on NYUDV2 (Eigen split)
0.645OPW ScoreST-CLSTM
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| ST-CLSTM2023.07 | 0.645 | 83.3 | 96.5 | 99.1 | 0.131 | — | — | |
| ST-CLSTM2024.03 | 0.645 | — | — | — | — | 83.3 | 0.131 | |
| Baseline2024.03 | 0.48 | — | — | — | — | 91.7 | 0.093 | |
| SC-DepthV22023.07 | 0.474 | 82 | 95.6 | 98.9 | 0.138 | — | — | |
| SC-DepthV12023.07 | 0.465 | 81.3 | 95.2 | 98.7 | 0.143 | — | — | |
| SC-DepthV32023.07 | 0.441 | 84.8 | 96.3 | 99.1 | 0.123 | — | — | |
| Many-DepthSupervision=Fully-supervised2024.03 | 0.428 | — | — | — | — | 86.5 | 0.096 | |
| DeepV2D2023.07 | 0.402 | 92.4 | 98.2 | 99.4 | 0.082 | — | — | |
| R-CVD2024.03 | 0.394 | — | — | — | — | 88.6 | 0.103 | |
| MAMO2024.03 | 0.388 | — | — | — | — | 94.2 | 0.074 | |
| FMNet2023.07 | 0.387 | 83.2 | 96.8 | 99.2 | 0.134 | — | — | |
| FMNet2024.03 | 0.387 | — | — | — | — | 83.2 | 0.134 | |
| NVDS2024.03 | 0.364 | — | — | — | — | 95 | 0.072 | |
| NVDS+Backbone=DPT-Large, Training=Large-scratch2023.07 | 0.345 | 93.1 | 98.9 | 99.6 | 0.081 | — | — | |
| FutureDepth2024.03 | 0.303 | — | — | — | — | 98.1 | 0.063 | |
| Cao et al.2023.07 | — | 83.5 | 96.5 | 99 | 0.131 | — | — |