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Video Depth Estimation on VDW (test)

74.2Delta 1NVDS+
46.1253.4160.767.99Jul 17, 2023

Evaluation results

MethodLinks
NVDS+Method Type=Video, Base Depth Predictor=DPT-Large, Model Size=Large2023.0774.289.795.70.20812.9
NVDS+Type=Learning Based, Backbone=DPT-Large, Processing Time (s)=2.312023.0774.2——0.20812.9
DPT-LargeMethod Type=Single-image, Backbone=DPT-Large2023.077389.495.20.21547
DPT-LargeType=Single Image, Processing Time (s)=0.972023.0773——0.21547
NVDSsmallBackbone=DPT-Swin2-Tiny, FPS=32.75, Params (M)=5.042023.0770.488.194.40.25125.9
NVDS+Method Type=Video, Base Depth Predictor=MiDaS-v2.1-Large, Model Size=Large2023.0770.188.594.70.23914.8
NVDS+Type=Learning Based, Backbone=MiDaS-v2.1-Large, Processing Time (s)=1.922023.0770.1——0.23914.8
VITAType=Learning Based, Processing Time (s)=1.382023.0768.9——0.24325.2
Robust-CVDMethod Type=Video2023.0767.685.592.80.26127.9
Robust-CVDType=Test-time Training, Processing Time (s)=270.282023.0767.6——0.26127.9
DPT-Swin2-TinyFPS=41.55, Params (M)=42.732023.0767.286.293.10.26461.9
MiDaS-v2.1-LargeMethod Type=Single-image, Backbone=MiDaS-v2.1-Large2023.0765.185.793.50.28867.6
MiDaS-v2.1-LargeType=Single Image, Processing Time (s)=0.762023.0765.1——0.28867.6
WSVDMethod Type=Video2023.0763.783.191.40.31446.2
WSVDType=Learning Based, Processing Time (s)=4.252023.0763.7——0.31446.2
NVDSsmallBackbone=MiDaS-v2.1-Small, FPS=35.17, Params (M)=5.042023.0762.283.291.30.34723.6
MiDaS-v2.1-SmallFPS=45.06, Params (M)=21.482023.0756.479.489.10.40165.2
DeepV2DMethod Type=Video2023.0754.672.283.50.52842.7
DeepV2DType=Learning Based, Processing Time (s)=68.712023.0754.6——0.52842.7
ST-CLSTMFPS=26.82, Params (M)=15.392023.0747.773.285.70.52144.8
ST-CLSTMMethod Type=Video2023.0747.770.983.80.52144.8
ST-CLSTMType=Learning Based, Processing Time (s)=0.582023.0747.7——0.52144.8
FMNetMethod Type=Video2023.0747.271.683.70.51440.2
FMNetType=Learning Based, Processing Time (s)=3.872023.0747.2——0.51440.2