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Semi-supervised Video Object Segmentation on DAVIS 2016 (val)

90.5Input J ScoreSwiftNet
73.23677.71882.286.682Jul 5, 2019Mar 3, 2020Oct 31, 2020Jun 30, 2021Feb 27, 2022Oct 27, 2022Jun 27, 2023

Evaluation results

MethodLinks
SwiftNetConstant Cost=true, FPS=25.02023.0690.5——90.490.3
STCN + TrickVOS (PT)Constant Cost=false, STCN re-training (no ASPP/BL30K)=true, FPS=45.42023.0690.5——91.893.1
STCNConstant Cost=false, Additional training data (BL30K)=true, FPS=26.92023.0690.4——91.793
XMemConstant Cost=false, FPS=29.62023.0690.4——91.592.7
STCN + Trick 1+2Constant Cost=false, STCN re-training (no ASPP/BL30K)=true, FPS=62.42023.0690.4——91.792.9
STCNConstant Cost=false, STCN re-training (no ASPP/BL30K)=true, FPS=62.42023.0690.1——91.292.3
MiVOSConstant Cost=false, Additional training data (BL30K)=true, FPS=16.92023.0689.7——9192.4
RDE-VOSConstant Cost=true, FPS=35.02023.0689.7——91.192.5
STMConstant Cost=false, FPS=6.302023.0688.7——89.389.9
CFBIConstant Cost=true, FPS=5.902023.0688.7——89.991.1
Baseline + TrickVOS (CV)Constant Cost=true, FPS=91.42023.0688.7——89.389.8
Baseline + TrickVOS (PT)Constant Cost=true, FPS=86.42023.0688.7——89.389.9
GCNetConstant Cost=true, FPS=25.02023.0687.6——86.685.7
BaselineConstant Cost=true, FPS=102.12023.0687.5——88.288.8
OnAVOS2019.0786.1————
OSVOS-S2019.0785.6————
PREMVOS2019.0784.9————
FAVOS2019.0782.4————
OSMN2019.0773.9————
SFSegInput Method=OnAVOS2019.07—86.365——
SFSegInput Method=OSVOS-S2019.07—8690——
SFSegInput Method=PREMVOS2019.07—88.290——
SFSegInput Method=FAVOS2019.07—8395——
SFSegInput Method=OSMN2019.07—75.995——