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Video Object Segmentation on YouTube-VOS 2019 (val)

89.3J-Score (Seen)BATMAN
81.39683.44885.587.552Mar 18, 2020Feb 21, 2021Jan 28, 2022Jan 3, 2023Dec 10, 2023Nov 14, 2024Oct 21, 2025

Evaluation results

MethodLinks
BATMANConstant Cost=true2023.0389.384.57987.285————
XMemConstant Cost=true, YouTube-VOS training stage=true, BL30K training stage=true2023.0389.284.880.388.885.8————
Cutie-base2024.1286.8—85.990.481.6———89.3
ReVOS2024.1286.8—85.389.882.1———89.9
DeAOTBackbone=SwinB-DeAOT-L2024.1286.2—85.690.680———88.4
CutieVariant=base+2025.1086.286.990.781.689.2————
JointFormer2025.1086.18790.68289.5————
RMem + DeAOTBackbone=R50-DeAOT-L, Memory bank=restricted, Temporal position embedding=false2024.1285.9—84.689.480.8———88.9
SAM 2++2025.1085.887.192.58090.3————
Cutie-basewith STM=true, Backbone=ResNet-50, Training Data=YouTube VOS + DAVIS2024.1185.5—9080.688.3———86.1
DEVAtraining_data=with OVIS, FPS=25.32023.0985.486.289.980.589.1————
Cutie-basewith STM=true, Backbone=ResNet-50, Training Data=YouTube VOS + DAVIS + MOSE2024.1185.4—9081.389.3———86.5
XMem2024.1285.4—84.388.680.3———88.5
DeAOTBackbone=SwinB2025.1085.486.490.380.689.3————
Cutie-smallwith STM=true, Backbone=ResNet-18, Training Data=YouTube VOS + DAVIS2024.1185.3—89.680.989———86.2
DEVA2025.1085.386.389.880.689.2————
Cutie-smallwith STM=true, Backbone=ResNet-18, Training Data=YouTube VOS + DAVIS + MOSE2024.1185.2—89.781.189.2———86.3
SAM22024.1285.2—83.790.687.9———88.5
DEVAtraining_data=without OVIS, FPS=25.32023.098585.589.479.788————
SwinB-AOST (nl=3)†backbone=Swin-Base, nl=3, alpha=infinity, All-Frame (30FPS)=true, Hierarchical Structure=true2022.0385—89.880.388.8—865.1—
DEVAwith STM=true, Backbone=ResNet-502024.1185—89.479.788———85.5
MITSInitialization format=Mask, Backbone=ResNet-502023.0884.985.989.780.488.7————
OneVOSFine-tuned on=MOSE2025.1084.986.389.981.189.4————
XMemAll-Frame (30FPS)=true2022.0384.8—89.280.388.8—85.522.6—
R50-AOST (nl=3)†backbone=ResNet-50, nl=3, alpha=infinity, All-Frame (30FPS)=true, Hierarchical Structure=true2022.0384.7—89.679.287.6—85.36.3—
DeAOTInitialization format=Mask2023.0884.685.989.480.888.9————
DeAOTMethod Category=Memory-based2023.1284.685.989.480.888.9————
DeAOTHierarchical Structure=true2022.0384.6—89.480.888.9—85.922.4—
AOTBackbone=SwinB2025.1084.685.389.579.387.7————
BATMAN2022.0884.5—89.37987.2—85——
SwinB-AOST (nl=3)backbone=Swin-Base, nl=3, Hierarchical Structure=true2022.0384.5—89.37987.3—859.3—
XMemLabeled data=100%2023.0384.385.588.680.388.6————
XMemConstant Cost=false2023.0684.3—88.680.388.6—85.5——
XMemInitialization format=Mask2023.0884.385.588.680.388.6————
XMemFPS=22.62023.0984.385.588.680.388.6————
XMemMethod Category=Memory-based2023.1284.385.588.680.388.6————
XMemwith STM=true, Backbone=ResNet-502024.1184.3—88.680.388.6———85.5
XMem2025.1084.385.588.680.588.7————
SwinB-AOST (nl=3)†backbone=Swin-Base, nl=3, alpha=infinity, Hierarchical Structure=true2022.0384.2—88.979.888—85.29.3—
DeAOTwith STM=true, Backbone=ResNet-502024.1184.2—89.280.288.8———85.6
SwinB-AOT-LBackbone=Swin-B2021.068484.588.878.486.7————
XMem*Labeled data=100%2023.038485.388.280.488.4————
R50-AOST (nl=3)†backbone=ResNet-50, nl=3, alpha=infinity, Hierarchical Structure=true2022.0384—88.779.587.9—8514.9—
AOTInitialization format=Mask2023.0883.985.388.879.988.5————
AOT-R50Backbone=ResNet-50, FPS=6.42023.0983.985.388.879.988.5————
AOTwith STM=true, Backbone=ResNet-502024.1183.9—88.879.988.5———85.3
R50-AOST (nl=3)backbone=ResNet-50, nl=3, Hierarchical Structure=true2022.0383.8—88.779.387.7—84.914.9—
XMemStage2 only training=true2024.0983.684.378.58887.1————
LiVOSwith STM=false, Backbone=ResNet-50, Training Data=YouTube VOS + DAVIS, Training iterations=30k additional2024.1183.6—87.673.380.6———81.3
R50-AOT-LBackbone=ResNet-502021.0683.584.188.178.486.3————
R50-AOTRegional Segmentation=false2022.0783.5—88.178.486.3—84.114.9—
AOT2022.0883.5—88.178.486.3—84.1——
R50-AOT-LLabeled data=100%2023.0383.584.188.178.486.3————
2-shot XMem w/ OursLabeled data=7.3%2023.0383.584.58879.187.3————
AOT-LStage2 only training=true2024.0983.584.178.488.186.3————
LiVOSwith STM=false, Backbone=ResNet-50, Training Data=YouTube VOS + DAVIS + MOSE2024.1183.5—87.675.883.3———82.6
AOST (nl=3)nl=3, Hierarchical Structure=true2022.0383.3—887987.4—84.415.9—
MobileVOSConstant Cost=true, Variant=Model soup, YouTube-VOS training stage=true2023.0383.283.387.776.985.3————
UniRef++-LMethod Category=Non-memory, Backbone=Large2023.1283.18387.777.384.1————
RPCMmulti-scale testing=true2021.1283—87.379.487.2—84.2——
PCVOSAll-Frame (30FPS)=true2022.0383—8879.687.9—84.610.5—
UniRef-LMethod Category=Non-memory, Backbone=Large2023.1282.982.786.976.884.1————
JIMDStage2 only training=true2024.0982.984.679.787.887.9————
AOT-L2021.0682.883.787.57886.7————
AOT-LMethod Category=Memory-based, Variant=Large2023.1282.883.787.57886.7————
AOT-LHierarchical Structure=true2022.0382.8—87.57886.7—83.716—
Adaptive Object Calibration Networkvariant=MF, multiple historical frames=true, external data=true2022.0782.7—86.979.487.2—84.1——
Adaptive Object Calibration Networkvariant=BaseMS, multi-scale and flip testing=true, external data=true2022.0782.7—87.18087.8—84.4——
STCNPre-training dataset=BL30K2021.0682.684.28779.487.7————
RPCM2021.1282.6—86.979.187.1—83.9——
STCNConstant Cost (CC)=false, BL30K pre-training=true2022.0582.684.28779.487.7————
STCNRegional Segmentation=false2022.0782.6—8779.487.7—84.211—
RAVOSRegional Segmentation=true2022.0782.6—8779.487.7—84.220—
PCVOSvariant=Ours-L52022.0882.684.687.38088.3————
RPCMVOS2022.0882.6—86.979.187.1—83.9——
STCNConstant Cost=false, YouTube-VOS training stage=true, BL30K training stage=true2023.0382.684.28779.487.7————
STCNConstant Cost=false, Additional training data (BL30K)=true2023.0682.6—8779.487.7—84.2——
RPCMAll-Frame (30FPS)=false2022.0382.6—86.979.187.1—83.97.7—
STCN2024.0982.684.279.48787.7————
LiVOSwith STM=false, Backbone=ResNet-50, Training Data=YouTube VOS + DAVIS2024.1182.6—86.871.778.4———79.9
AOT-B2022.0782.5—8777.886—83.3——
STCN+InstMoveintegration=InstMove2023.0382.583.477.986.986————
AOT-B2021.0682.483.387.177.886————
AOT-BMethod Category=Memory-based, Variant=Base2023.1282.483.387.177.886————
AOT-BHierarchical Structure=true2022.0382.4—87.177.886—83.320.5—
Adaptive Object Calibration Networkvariant=Base2022.0782.3—86.67986.9—83.7——
AOT-Lmultiple historical frames=true, external data=true2022.0782.2—86.978.386.9—83.6——
AOTArchitecture=Transformer-based2022.0882.283.686.978.386.9————
MobileVOSConstant Cost=true, Backbone=ResNet18, YouTube-VOS training stage=true, BL30K training stage=true2023.0382.182.886.47785.6————
STCN + TrickVOS (PT)Constant Cost=false, STCN re-training (no ASPP/BL30K)=true2023.0682.1—86.477.285.5—82.8——
SWEMInference speed=> 20 FPS2022.088282.686.177.285.2————
RDE-VOSConstant Cost (CC)=true, BL30K pre-training=true2022.0581.983.386.37886.9————
RDE-VOSConstant Cost=true, YouTube-VOS training stage=true, BL30K training stage=true2023.0381.983.386.37886.9————
MITSInitialization format=Box, Backbone=ResNet-502023.0881.981.886.275.283.7————
UniRef++-R50Method Category=Non-memory, Backbone=ResNet-502023.1281.981.986.276.583.2————
CFBImulti-scale and flip strategy=true2020.0381.882.486.176.984.8————
CFBIMSsynthetic data for offline training=false, online fine-tuning=false2021.0881.882.486.176.984.8————
CFBImulti-scale testing=true, flip testing=true2021.1281.8—86.176.984.8—82.4——
CFBImulti-scale and flip testing=true, external data=true2022.0781.8—86.176.984.8—82.4——
HMMN2021.0981.782.586.177.385————