Depth Completion on Outdoor sequence KITTI → Waymo → VKITTI
0Avg Forgetting MAE (%)ProtoDepth
Evaluation results
| Method | Links | ||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ProtoDepthBackbone=VOICED, Strategy=Incremental2025.03 | 0 | — | — | — | — | — | — | — | — | — | — | — | — | 0 | 0 | 0 | 445.419 | 1,804.158 | 1.106 | 3.169 | 531.689 | 2,262.943 | 1.043 | 3.11 | |
| ProtoDepthBackbone=FusionNet, Strategy=Incremental2025.03 | 0 | — | — | — | — | — | — | — | — | — | — | — | — | 0 | 0 | 0 | 400.888 | 1,683.202 | 1.022 | 2.899 | 461.043 | 2,048.942 | 0.932 | 2.792 | |
| ProtoDepthBackbone=KBNet, Strategy=Incremental2025.03 | 0 | — | — | — | — | — | — | — | — | — | — | — | — | 0 | 0 | 0 | 401.075 | 1,710.074 | 1.029 | 2.993 | 471.437 | 2,125.957 | 0.996 | 3.015 | |
| ProtoDepth-ABackbone=FusionNet, Strategy=Agnostic2025.03 | 2.2 | — | — | — | — | — | — | — | — | — | — | — | — | 2.282 | 2.602 | 7.203 | 404.956 | 1,702.945 | 1.041 | 3.028 | 464.976 | 2,052.413 | 0.952 | 2.864 | |
| ProtoDepth-ABackbone=VOICED, Strategy=Agnostic2025.03 | 2.427 | — | — | — | — | — | — | — | — | — | — | — | — | 2.863 | 2.079 | 2.153 | 458.52 | 1,832.69 | 1.133 | 3.213 | 548.24 | 2,294.399 | 1.08 | 3.159 | |
| ProtoDepth-ABackbone=KBNet, Strategy=Agnostic2025.03 | 4.513 | — | — | — | — | — | — | — | — | — | — | — | — | 3.1 | 2.96 | 1.878 | 409.903 | 1,730.72 | 1.045 | 3.044 | 478.79 | 2,138.347 | 1.008 | 3.066 | |
| ReplayBackbone=FusionNet, Strategy=Continual Learning2025.03 | 8.29 | — | — | — | — | — | — | — | — | — | — | — | — | 11.134 | 2.769 | 7.975 | 419.044 | 1,774.361 | 1.044 | 3.032 | 479.168 | 2,122.997 | 0.966 | 2.906 | |
| FinetunedBackbone=FusionNet, Strategy=Continual Fine-tuning2025.03 | 11.336 | — | — | — | — | — | — | — | — | — | — | — | — | 8.435 | 17.447 | 17.991 | 437.73 | 1,785.212 | 1.193 | 3.724 | 501.362 | 2,138.422 | 1.111 | 3.978 | |
| LwFBackbone=FusionNet, Strategy=Continual Learning2025.03 | 12.368 | — | — | — | — | — | — | — | — | — | — | — | — | 5.202 | 13.593 | 13.117 | 442.878 | 1,759.202 | 1.178 | 3.352 | 526.528 | 2,168.961 | 1.156 | 3.451 | |
| ReplayBackbone=VOICED, Strategy=Continual Learning2025.03 | 17.241 | — | — | — | — | — | — | — | — | — | — | — | — | 4.05 | 16.662 | 5.478 | 524.114 | 1,875.897 | 1.333 | 3.359 | 618.668 | 2,366.577 | 1.292 | 3.348 | |
| EWCBackbone=FusionNet, Strategy=Continual Learning2025.03 | 21.006 | — | — | — | — | — | — | — | — | — | — | — | — | 10.494 | 20.431 | 16.535 | 431.44 | 1,760.46 | 1.144 | 3.181 | 486.17 | 2,117.03 | 1.029 | 2.986 | |
| LwFBackbone=KBNet, Strategy=Continual Learning2025.03 | 21.184 | — | — | — | — | — | — | — | — | — | — | — | — | 4.049 | 43.5 | 19.951 | 460.097 | 1,749.734 | 1.362 | 3.555 | 541.932 | 2,142.999 | 1.359 | 3.731 | |
| EWCBackbone=KBNet, Strategy=Continual Learning2025.03 | 23.517 | — | — | — | — | — | — | — | — | — | — | — | — | 8.583 | 30.077 | 18.991 | 456.828 | 1,806.761 | 1.221 | 3.321 | 526.366 | 2,210.424 | 1.133 | 3.158 | |
| ReplayBackbone=KBNet, Strategy=Continual Learning2025.03 | 25.423 | — | — | — | — | — | — | — | — | — | — | — | — | 29.303 | 6.362 | 7.274 | 454.896 | 1,935.667 | 1.102 | 3.203 | 525.696 | 2,318.363 | 1.094 | 3.246 | |
| FinetunedBackbone=KBNet, Strategy=Continual Fine-tuning2025.03 | 27.153 | — | — | — | — | — | — | — | — | — | — | — | — | 18.208 | 52.969 | 33.37 | 469.658 | 1,943.259 | 1.338 | 3.683 | 541.383 | 2,411.169 | 1.144 | 3.505 | |
| FinetunedBackbone=VOICED, Strategy=Continual Fine-tuning2025.03 | 499.598 | — | — | — | — | — | — | — | — | — | — | — | — | 162.188 | 467.472 | 208.693 | 1,620.429 | 3,072.129 | 4.04 | 6.144 | 914.223 | 2,993.228 | 1.955 | 4.503 | |
| EWCBackbone=VOICED, Strategy=Continual Learning2025.03 | 555.925 | — | — | — | — | — | — | — | — | — | — | — | — | 190.152 | 540.109 | 247.943 | 1,796.3 | 3,346.057 | 4.49 | 6.685 | 962.937 | 3,209.759 | 1.962 | 4.739 | |
| LwFBackbone=VOICED, Strategy=Continual Learning2025.03 | 631.119 | — | — | — | — | — | — | — | — | — | — | — | — | 221.535 | 524.976 | 233.758 | 1,973.972 | 3,612.7 | 4.533 | 6.648 | 985.995 | 3,236.244 | 2.062 | 4.722 | |
| ANCLBackbone=KBNet, Setting=(3)2025.03 | — | 20.49 | 8.94 | 23.11 | 27.73 | 438.05 | 1,795.76 | 1.21 | 3.56 | 503.53 | 2,203.44 | 1.18 | 3.53 | — | — | — | — | — | — | — | — | — | — | — | |
| CMPBackbone=KBNet, Setting=(3)2025.03 | — | 15.95 | 15.47 | 6.9 | 7.39 | 447.09 | 1,887.14 | 1.09 | 3.19 | 507.9 | 2,262.46 | 1.06 | 3.21 | — | — | — | — | — | — | — | — | — | — | — | |
| ProtoDepth-ABackbone=KBNet, Setting=(3)2025.03 | — | 4.51 | 3.1 | 2.96 | 1.88 | 409.9 | 1,730.72 | 1.04 | 3.04 | 478.79 | 2,138.35 | 1.01 | 3.07 | — | — | — | — | — | — | — | — | — | — | — |