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Depth Estimation on KITTI (Eigen split)

1.65RMSESQLdepth
1.579842.053422.5273.00058Jun 4, 2018Sep 24, 2019Jan 14, 2021May 6, 2022Aug 27, 2023Dec 16, 2024Apr 8, 2026

Evaluation results

MethodLinks
SQLdepthBackbone=ConvNeXt-L, Params=242M, Train=SSL+Sup, Test=median-scaling, HxW=376x12412023.091.650.0350.0920.05798.999.899.9——
SQLdepthBackbone=ConvNeXt-L, Params=242M, Train=SSL+Sup, Test=Standard, HxW=376x12412023.091.6980.0430.1050.06498.399.899.9——
FutureDepthType=MF, Encoder=Dinov2 (ViT-L)2024.031.8560.0410.1170.06698.4————
PixelFormer+MAMoType=VD, Encoder=Swin-large2023.071.8840.0490.130.07297.70.9980.9995——
Deep Two-View SfMType=II (Deep SfM)2021.041.9190.0340.1030.05798.999.899.90.031—
FutureDepthType=MF, Encoder=Swin-L2024.031.920.0440.1190.06898.3————
BTS (Ours-ResNext)cap=0-50m, Backbone=ResNext-1012019.071.9250.0560.1690.08796.499.499.9——
BTS (Ours-DenseNet)cap=0-50m, Backbone=DenseNet-1612019.071.9490.0570.1750.08896.499.599.9——
SwinV2-L 1K-MIMParams=254M, Train=Sup, Test=Standard, HxW=376x12412023.091.9660.050.1390.07597.799.8100——
MAMOType=MF, Encoder=Swin-L2024.031.9890.0490.130.07297.7————
BTS (Ours-ResNet)cap=0-50m, Backbone=ResNet-1012019.071.9950.0580.1830.0996.299.499.9——
FutureDepthType=MF, Encoder=Swin-B2024.031.9980.0490.1290.07797.6————
NeWCRFs+MAMoType=VD, Encoder=Swin-large2023.072.0030.050.1410.07697.70.9980.9994——
SQLdepthBackbone=Efficient-b5, Params=78M, Train=SSL+Sup, Test=median-scaling, HxW=376x12412023.092.0090.0440.1280.0798.199.799.9——
FutureDepthType=MF, Encoder=ResNet342024.032.0160.0540.1790.08796.5————
LiftFormerdepth_range=0–80 M2026.042.0380.050.1430.07697.899.899.9——
DCDepthBackbone=Swin-Large2024.102.0440.0510.1450.07697.799.799.9——
GEDepthType=SF, Encoder=[24]2024.032.050.0480.1420.07697.6————
BaselineType=MF, Encoder=Dinov2 (ViT-L)2024.032.0640.0510.1410.07697.9————
iDiscBackbone=Swin-Large2024.102.0670.050.1450.07797.799.799.9——
iDiscType=SF, Encoder=Swin-L2024.032.0670.050.1450.07797.7————
iDiscdepth_range=0–80 M2026.042.0670.050.1450.07797.799.799.9—-1.43
DDPdepth_range=0–80 M2026.042.0720.050.1480.07697.599.799.9—-1.67
PixelFormerBackbone=Swin-Large2024.102.0810.0510.1490.07797.699.799.9——
PixelFormerType=SF, Encoder=Swin-L2024.032.0810.0510.1490.07797.6————
PixelFormerdepth_range=0–80 M2026.042.0810.0510.1490.07797.699.799.9—-2.11
NeWCRFs+MAMoType=VD, Encoder=Swin-Base2023.072.090.0510.1490.07897.60.9980.9994——
VA-DepthNetBackbone=Swin-Large2024.102.0930.050.1480.07697.799.799.9——
PixelFormerType=VD, Encoder=Swin-large2023.072.0930.0520.1520.07997.50.9970.9994——
BaselineType=MF, Encoder=Swin-L2024.032.0940.0530.1540.07997.5————
BinsFormerBackbone=Swin-Large2024.102.0960.0520.1510.07997.499.799.9——
BinsFormerType=SF, Encoder=Swin-large2023.072.0980.0520.1510.07997.50.9970.9992——
BinsFormerType=SF, Encoder=Swin-L2024.032.0980.0520.1510.07997.5————
BinsFormerdepth_range=0–80 M2026.042.0980.0520.1510.07997.499.799.9—-2.944
NVDSType=MF, Encoder=DPT-L [36]2024.032.1010.0520.1590.07797.6————
DINOv2depth_range=0–80 M2026.042.1110.0650.1790.08896.899.799.9—-3.582
NeWCRFsType=VD, Encoder=Swin-large2023.072.1180.0530.1540.0897.40.9970.9994——
SC-GANMulti-view=true2021.122.1290.0630.1780.09796.1————
SQLdepthBackbone=Efficient-b5, Params=78M, Train=SSL+Sup, Test=Standard, HxW=376x12412023.092.1290.0580.1630.08297.199.599.9——
NeWCRFsParams=270M, Train=Sup, Test=Standard, HxW=376x12412023.092.1290.0520.1550.07997.499.799.9——
NeWCRFSBackbone=Swin-Large2024.102.1290.0520.1550.07997.499.799.9——
NeWCRFsType=SF, Encoder=Swin-L2024.032.1290.0520.1550.07997.4————
NeWCRFsdepth_range=0–80 M2026.042.1290.0520.1550.07997.499.799.9—-4.465
NeWCRFsType=VD, Encoder=Swin-Base2023.072.140.0540.1570.08197.30.9970.9993——
DepthFormerdepth_range=0–80 M2026.042.1430.0520.1580.07997.599.799.8—-5.152
MaGNet (full)Multi-view=true2021.122.1580.0540.1620.08397.1————
BaselineType=MF, Encoder=Swin-B2024.032.1630.0550.1620.08297.3————
Fu et al.cap=0-50m2019.072.2710.0710.2680.11693.698.599.5——
Deep Two-View SfMType=II (Deep SfM)2021.042.2730.0550.2240.0910.9560.9840.9930.107—
Wang et al.depth_range=0–80 M2026.042.2730.0550.224—————-11.531
DepthFormerType=SF, Encoder=MiT-B42023.072.2850.0580.1870.08796.70.9960.9991——
ZoeDepthParams=345M, Train=Sup, Test=Standard, HxW=376x12412023.092.290.0570.1940.09196.799.599.9——
AdaBinsMulti-view=false2021.122.360.0580.190.08896.4————
AdaBinsParams=78M, Train=Sup, Test=Standard, HxW=376x12412023.092.360.0580.190.08896.499.599.9——
AdaBinsBackbone=E-B5+mini-ViT2024.102.360.0580.190.08896.499.599.9——
AdaBinsType=SF, Encoder=EfficientNet-B5+mViT2023.072.360.0580.190.08896.40.9950.9991——
AdaBinsType=SF, Encoder=EfficientNet2024.032.360.0580.190.08896.4————
Adabindepth_range=0–80 M2026.042.360.0580.190.08896.499.599.9—-15.8
MaGNet (D-Net)Multi-view=false2021.122.4220.0610.2090.09296————
DeepV2DType=II (Deep SfM)2021.042.4830.050.2120.08997.399.299.70.091—
BaselineType=MF, Encoder=ResNet342024.032.5210.0630.2190.09895.7————
DPT-HybridTraining=Fine-tuned2021.032.5730.062—0.09295.999.599.9——
DORNTraining=Fine-tuned2021.032.6260.072—0.1293.298.499.4——
DORNTrain=D2018.062.7270.0720.3070.1293.298.499.4——
DORNType=S (Supervised single frame)2021.042.7270.0720.3070.120.9320.9840.9940.163—
Fu et al.cap=0-80m2019.072.7270.0720.3070.1293.298.499.4——
DORNBackbone=ResNet-1012024.102.7270.0720.3070.1293.298.499.4——
DORNdepth_range=0–80 M2026.042.7270.0720.3070.1293.298.499.5—-33.808
ManyDepth-FSType=MF, Encoder=Swin-large, Supervision=Fully-supervised2023.072.7470.060.2480.09995.50.9930.9981——
ManyDepth-FSType=MF, Encoder=Swin-L2024.032.7470.060.2480.09995.5————
TransDepthBackbone=R-50+ViT-B/162024.102.7550.0640.2520.09895.699.499.9——
BTSTraining=Fine-tuned2021.032.7560.059—0.09695.699.399.8——
BTS (Ours-ResNext)cap=0-80m, Backbone=ResNext-1012019.072.7560.0590.2450.09695.699.399.8——
BTSMulti-view=false2021.122.7560.0590.2450.09695.6————
BTS (Ours-DenseNet)cap=0-80m, Backbone=DenseNet-1612019.072.7980.060.2490.09695.599.399.8——
BTSBackbone=DenseNet-1612024.102.7980.060.2490.09695.599.399.8——
NeuralRGBType=MF, Encoder=CNN based, Multiple networks=true2023.072.8290.1——93.1————
NeuralRGBType=MF, Encoder=CNN-based†2024.032.8290.1——93.1————
BTS (Ours-ResNet)cap=0-80m, Backbone=ResNet-1012019.072.8340.0610.2610.09995.499.299.8——
BTSParams=47M, Train=Sup, Test=Standard, HxW=376x12412023.092.8340.0610.2610.09995.499.299.8——
P3DepthBackbone=ResNet-1012024.102.8420.0710.270.10395.399.399.8——
P3Depthdepth_range=0–80 M2026.042.8420.0710.270.10395.399.399.8—-39.45
DORNType=S (Supervised single frame)2021.042.9290.0670.2950.10894.998.899.50.13—
DeepV2DType=II (Deep SfM)2021.042.9460.0640.350.120.9460.9820.9910.142—
ResNet-DPT+MAMoType=VD, Encoder=ResNet502023.072.9840.0710.3010.12192.60.990.9971——
Structure-Attentioned Memory Network2019.093.0070.0970.3980.13391.398.599.7——
Focal-Wnetdepth_range=0–80 M2026.043.0760.082—0.1292.698.699.7—-50.932
Gan et al.cap=0-50m2019.073.1330.0940.5520.16589.896.798.6——
VNLType=S (Supervised single frame)2021.043.1720.0650.2970.10694.598.999.70.168—
TC-Depth-FSType=MF, Encoder=ResNet50, Supervision=Fully-supervised2023.073.2220.0710.330.10892.20.9930.997——
TC-Depth-FSType=MF, Encoder=ResNet502024.033.2220.0710.330.10892.2————
Naderi et al.depth_range=0–80 M2026.043.2230.07——94.499.199.8—-58.145
ResNet-DPTType=VD, Encoder=ResNet502023.073.2420.0850.3830.1391.30.9810.996——
VNLTraining=Fine-tuned2021.033.2580.072—0.11793.89999.8——
VNLType=S (Supervised single frame)2021.043.2580.072—0.1170.9380.990.9980.176—
Yin et al.cap=0-80m2019.073.2580.072—0.11793.89999.8——
VNLBackbone=ResNet-1012024.103.2580.072—0.11793.89999.8——
STADType=MF, Encoder=CNN, Multiple networks=true2023.073.3120.1090.5940.15388.90.9710.989——
STADType=MF, Encoder=[26]†2024.033.3120.1090.5940.15388.9————
UnOSStereo Train=true, Stereo Infer.=true, Multi-Frame=false2023.103.4040.0490.5150.12196.598.499.2——