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Video Object Segmentation on DAVIS 2017 (test)

82.9J (Jaccard Index)XMem
50.03658.56867.175.632Mar 18, 2020Nov 15, 2020Jul 16, 2021Mar 16, 2022Nov 14, 2022Jul 15, 2023Mar 14, 2024

Evaluation results

MethodLinks
XMem2024.0382.9—89.5—86.2
AOT2024.0382.3—87.5—84.9
STCN2024.0382.2—88.6—85.4
One Tracker2024.0379.4—85.6—82.5
STM2024.0379.2—84.3—81.8
CFBI2024.0379.1—84.6—81.9
SwinB-AOSTBackbone=Swin-Base, Number of LSTT blocks=3, FPS=12.02022.0378.8—86.6—82.7
TarVIS2024.0378.7—87—82
SwinB-AOSTBackbone=Swin-Base, Number of LSTT blocks=3, FPS=12.0, extra=†2022.0378.2—85.6—81.9
DINO1st-frame-GT=true, RGB=true, Flow=false2022.0777.7—79.6—78.7
UNINEXT2024.0377.7—85.8—81.8
SwinB-AOT-LPre-training=YouTube-VOS, Backbone=Swin-Base, FPS=12.12021.0677.381.285.1——
SwinB-AOT-LTraining data=YouTube-VOS2021.0677.381.285.112.1—
R50-AOST-LBackbone=ResNet-50, Number of LSTT blocks=3, FPS=17.5, extra=†2022.0376.7—83.9—80.3
R50-AOSTBackbone=ResNet-50, Number of LSTT blocks=3, FPS=17.52022.0376.2—83.6—79.9
R50-AOT-LPre-training=YouTube-VOS, Backbone=ResNet-50, FPS=18.02021.0675.979.683.3——
R50-AOT-LTraining data=YouTube-VOS2021.0675.979.683.318—
RPCMFPS=1.9+2022.0375.8—82.6—79.2
AOSTNumber of LSTT blocks=3, FPS=18.22022.0375.6—83.3—79.5
MiVOSConstant Cost during inference=false, Resolution=full, YouTube-VOS added during training=true, BL30K added during training=true2022.0574.9—82.2—78.6
RDE-VOSConstant Cost during inference=true, Resolution=full, YouTube-VOS added during training=true, BL30K added during training=true2022.0574.9—82.9—78.9
MiVOSConstant Cost=false, 600p Resolution=false, YouTube-VOS Training=true, BL30K Training=true2022.0574.9—82.2—78.6
RDE-VOSConstant Cost=true, 600p Resolution=false, YouTube-VOS Training=true, BL30K Training=true2022.0574.9—82.9—78.9
HMMNFPS=3.4+2022.0374.7—82.5—78.6
CFBI+Fine-tuning=false, Simulated data=false, YouTube-VOS training=true, Resolution=600p, Inference time (t/s)=0.292020.1074.47881.6——
CFBI+*Pre-training=YouTube-VOS, FPS=3.42021.0674.47881.6——
CFBI+Training data=YouTube-VOS, Inference resolution=600p2021.0674.47881.63.4—
CFBI+Resolution=600p, FPS=3.42022.0374.4—81.6—78
AOT-LPre-training=YouTube-VOS, FPS=18.72021.0674.378.382.3——
AOT-LTraining data=YouTube-VOS2021.0674.378.382.318.7—
STCNConstant Cost during inference=false, Resolution=full, YouTube-VOS added during training=true, BL30K added during training=true2022.0574.3—81.3—77.8
STCNConstant Cost=false, 600p Resolution=false, YouTube-VOS Training=true, BL30K Training=true2022.0574.3—81.3—77.8
AOT-LFPS=18.72022.0374.3—82.3—78.3
KMNVOSFine-tuning=false, Simulated data=true, YouTube-VOS training=true, Resolution=600p2020.1074.177.280.3——
KMN*Pre-training=YouTube-VOS2021.0674.177.280.3——
KMNTraining data=YouTube-VOS, Inference resolution=600p2021.0674.177.280.3——
KMNConstant Cost during inference=false, Resolution=600p, YouTube-VOS added during training=true2022.0574.1—80.3—77.2
KMNConstant Cost=false, 600p Resolution=true, YouTube-VOS Training=true, BL30K Training=false2022.0574.1—80.3—77.2
KMNResolution=600p, FPS=2.8+2022.0374.1—80.3—77.2
GSFMFPS=8.92022.0374—80.9—77.5
CFBIYouTube-VOS Training=true, Multi-scale evaluation=true, FS=false2020.0373.877.581.1——
RDE-VOSConstant Cost during inference=true, Resolution=full, YouTube-VOS added during training=true2022.0573.6—81.2—77.4
RDE-VOSConstant Cost=true, 600p Resolution=false, YouTube-VOS Training=true, BL30K Training=false2022.0573.6—81.2—77.4
CFBIFine-tuning=false, Simulated data=false, YouTube-VOS training=true, Resolution=600p, Inference time (t/s)=0.352020.107376.680.1——
CFBI*Pre-training=YouTube-VOS, FPS=2.92021.067376.680.1——
CFBITraining data=YouTube-VOS, Inference resolution=600p2021.067376.680.12.9—
CFBIResolution=600p, FPS=2.92022.0373—80.1—76.6
CRW1st-frame-GT=true, RGB=true, Flow=false2022.0772.9—74.1—73.4
STCNResolution=480p, FPS=19.52022.0372.7—79.6—76.1
Ge et al.Constant Cost during inference=false, Resolution=full2022.0572—78.3—75.2
Ge et al.Constant Cost during inference=true, Resolution=full2022.0572—78.3—75.2
Ge et al.Constant Cost=false, 600p Resolution=false, YouTube-VOS Training=true, BL30K Training=false2022.0572—78.3—75.2
Ge et al.Constant Cost=true, 600p Resolution=false, YouTube-VOS Training=true, BL30K Training=false2022.0572—78.3—75.2
RMNetConstant Cost during inference=false, Resolution=full2022.0571.9—78.1—75
RMNetConstant Cost=false, 600p Resolution=false, YouTube-VOS Training=true, BL30K Training=false2022.0571.9—78.1—75
CFBI+Fine-tuning=false, Simulated data=false, YouTube-VOS training=true, Inference time (t/s)=0.192020.1071.675.679.6——
AOT-BPre-training=YouTube-VOS, FPS=29.62021.0671.675.579.3——
AOT-BTraining data=YouTube-VOS2021.0671.675.579.329.6—
CFBI++Constant Cost during inference=true, Resolution=full2022.0571.6—79.6—75.6
CFBI++Constant Cost=true, 600p Resolution=false, YouTube-VOS Training=true, BL30K Training=false2022.0571.6—79.6—75.6
AOT-BFPS=29.62022.0371.6—79.3—75.5
CFBIFine-tuning=false, Simulated data=false, YouTube-VOS training=true, Inference time (t/s)=0.192020.1071.47578.7——
CFBIPre-training=YouTube-VOS, FPS=5.32021.0671.47578.7——
CFBITraining data=YouTube-VOS2021.0671.47578.75.3—
CFBIResolution=480p, FPS=5.32022.0371.4—78.7—75
CFBIYouTube-VOS Training=true, FS=false2020.0371.174.878.5——
CFBIConstant Cost during inference=true, Resolution=full, YouTube-VOS added during training=true2022.0571.1—78.5—74.8
CFBIConstant Cost=true, 600p Resolution=false, YouTube-VOS Training=true, BL30K Training=false2022.0571.1—78.5—74.8
MAST1st-frame-GT=true, RGB=true, Flow=false2022.0771—70.8—70.9
AOT-SPre-training=YouTube-VOS, FPS=40.02021.0670.373.977.5——
AOT-STraining data=YouTube-VOS2021.0670.373.977.540—
AOT-SFPS=40.02022.0370.3—77.5—73.9
STMVOSYouTube-VOS Training=true, FS=true2020.0369.372.275.2——
STMVOSFine-tuning=false, Simulated data=true, YouTube-VOS training=true, Resolution=600p2020.1069.372.275.2——
STM*Pre-training=YouTube-VOS2021.0669.372.275.2——
STMConstant Cost during inference=false, Resolution=600p, YouTube-VOS added during training=true2022.0569.3—75.2—72.2
STMConstant Cost=false, 600p Resolution=true, YouTube-VOS Training=true, BL30K Training=false2022.0569.3—75.2—72.2
STMResolution=600p, FPS=2.3+2022.0369.3—75.2—72.2
AOT-TPre-training=YouTube-VOS, FPS=51.42021.0668.37275.7——
AOT-TTraining data=YouTube-VOS2021.0668.37275.751.4—
PREMVOSFS=true2020.0367.571.675.7——
PREMVOSFine-tuning=true, Simulated data=true, Inference time (t/s)=41.32020.1067.571.675.7——
PREMFPS=0.022021.0667.571.675.7——
OmniTracker2024.0366.8—75.2—71
UVC1st-frame-GT=true, RGB=true, Flow=false2022.0766.2—64.7—65.5
Siam R-CNN2024.0366.1—75—70.6
OCLR (test. adap.)1st-frame-GT=false, RGB=true, Flow=true2022.0765.2—63.6—64.4
Unicorn2024.0365.2—73.2—69.2
UniTrack2024.0358.4————
FEELVOSYouTube-VOS Training=true, FS=false2020.0355.257.860.5——
FEELVOSFine-tuning=false, Simulated data=false, YouTube-VOS training=true, Inference time (t/s)=0.542020.1055.257.860.5——
FEELPre-training=YouTube-VOS, FPS=1.92021.0655.257.860.5——
OCLR (flow-only)1st-frame-GT=false, RGB=false, Flow=true2022.0754.5—55.7—55.1
SiamMask2024.0354.3—58.5—56.4
CorrFlow1st-frame-GT=true, RGB=true, Flow=false2022.0754.2—53.7—54
OnAVOSFS=true2020.0353.456.559.6——
OnAVOSFine-tuning=true, Simulated data=false, Inference time (t/s)=392020.1053.456.559.6——
OnAFPS=0.032021.0653.456.559.6——
RGMPFS=true2020.0351.352.954.4——
RGMPFine-tuning=false, Simulated data=true, Inference time (t/s)=0.42+2020.1051.352.954.4——