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Referring Video Object Segmentation on A2D Sentences (test)

81.1Overall IoUDsHmp
52.559.92567.3574.775Mar 20, 2018Mar 22, 2019Mar 24, 2020Mar 27, 2021Mar 30, 2022Apr 2, 2023Apr 4, 2024

Evaluation results

MethodLinks
DsHmpBackbone=Video-Swin-Base2024.0481.1——————72.9—59.8—
SOCBackbone=Video-Swin-Base2024.0480.7——————72.5—57.3—
SgMgBackbone=Video-Swin-B2023.0779.9——————72—58.5—
SgMgBackbone=Video-Swin-Base2024.0479.9——————72—58.5—
OnlineReferBackbone=Video-Swin-B, Online/Offline=semi-online, Window Size=w=52023.0779.683.180.273.456.82,170—70.5———
OnlineReferBackbone=Video-Swin-Base2024.0479.6——————70.5———
HTMLBackbone=Video-Swin-Base2024.0479.5——————71.2—56.7—
DsHmpBackbone=Video-Swin-Tiny2024.0479——————71.3—57.2—
ReferFormerBackbone=Video-Swin-B, Window size (w)=5, Trained from scratch=false2022.0178.683.180.474.157.92,120—70.355——
ReferFormerBackbone=Video-Swin-B, Online/Offline=offline, Window Size=w=52023.0778.683.180.474.157.92,120—70.3———
ReferFormerBackbone=Video-Swin-B2023.0778.6——————70.3—55—
ReferFormerBackbone=Video-Swin-Base2024.0478.6——————70.3—55—
SOCBackbone=Video-Swin-Tiny2024.0478.3——————70.6—54.8—
SgMgBackbone=Video-Swin-T2023.0778——————70.4—56.1—
SgMgBackbone=Video-Swin-Tiny2024.0478——————70.4—56.1—
ReferFormerBackbone=Video-Swin-S, Window size (w)=5, Trained from scratch=false2022.0177.782.679.473.157.42,110—69.853.9——
ReferFormerBackbone=Video-Swin-T, Window size (w)=5, Trained from scratch=false2022.0177.682.879.272.355.31,930—69.652.8——
ReferFormerBackbone=Video-Swin-T, Online/Offline=offline, Window Size=w=52023.0777.682.879.272.355.31,930—69.6———
ReferFormerBackbone=Video-Swin-T2023.0777.6——————69.6—52.8—
ReferFormerBackbone=Video-Swin-Tiny2024.0477.6——————69.6—52.8—
HTMLBackbone=Video-Swin-Tiny2024.0477.6——————69.2—53.4—
ReferFormerBackbone=Video-Swin-T, Window size (w)=6, Trained from scratch=true2022.0172.37672.265.449.81,790—64.148.6——
MTTRBackbone=Video-Swin-T, Window size (w)=102022.017275.471.263.848.51,690—6446.1——
MTTRw=102021.117275.471.263.848.516.9—64—46.1—
MTTRBackbone=Video-Swin-T, Online/Offline=offline, Window Size=w=102023.077275.471.263.848.51,690—64———
MTTRBackbone=Video-Swin-T2023.0772——————64—46.1—
MTTRBackbone=Video-Swin-Tiny2024.0472——————64—46.1—
Ours2022.0371.470.266.358.542.815.146.959.8———
LBDTLBDT layers=42022.0670.47367.45942.113.247.262.1———
MTTRBackbone=Video-Swin-T, Window size (w)=82022.0170.272.168.460.745.61,640—61.844.7——
MTTRw=82021.1170.272.168.460.745.616.4—61.8—44.7—
LBDTLBDT layers=12022.0670.171.166.157.841.61246.161.2———
MMVT+LGFF (B+M+T+L+A)additional optical flow input=true2022.0467.364.559.752.337.51341.955.8———
RefVOS2021.1167.257.8———9.3—49.7———
OursInput=RGB2021.0566.265.458.949.733.39.139.956.1———
LGFS212022.0366.265.458.949.733.39.139.956.1———
CSTM2021.1166.265.458.949.733.39.1—56.1—39.9—
CSTMPub.=CVPR212022.0666.265.458.949.733.39.139.956.1———
CSTMVenue=CVPR2021, additional optical flow input=false2022.0466.265.458.949.733.39.139.956.1———
PRPEInput=RGB2021.0566.163.457.948.332.28.338.852.9———
PRPE2021.0566.163.457.948.332.28.338.852.9———
PRPE202022.0366.163.457.948.332.28.338.852.9———
PRPEPub.=IJCAI202022.0666.163.457.948.332.28.338.852.9———
Ning et al.Training=A2D Sentences exclusively2021.0366.163.457.948.332.283038.852.9——5.42
PRPEVenue=IJCAI2020, additional optical flow input=false2022.0466.163.457.948.332.28.338.852.9———
Ours-I3DBackbone=3D (I3D)2021.0565.365.559.250.634.29.840.457.3———
CMPC-VBackbone=I3D2022.0165.365.559.250.634.2980—57.340.4——
CMPC-V212022.0365.365.559.250.634.29.840.457.3———
CMPC-VBackbone=I3D2021.1165.365.559.250.634.29.8—57.3—40.4—
CMPC-VPub.=TPAMI212022.0665.365.559.250.634.29.840.457.3———
CMPC-VBackbone=I3D, Online/Offline=offline2023.0765.365.559.250.634.2980—57.3———
CMPC-VBackbone=I3D2023.0765.3——————57.3—40.4—
Ours-R2DBackbone=2D (R2D)2021.0564.95952.743.428.46.835.151.5———
CMPC2020.1164.95952.743.428.46.835.151.5———
AAMN2020.1163.468.964.254.532.43.441.255.6———
ClawCraneNetBackbone=ResNet-50/1012022.0163.170.467.761.748.91,710—59.9———
Claw CraneNetBackbone=ResNet-50/101, Online/Offline=offline2023.0763.170.467.761.748.91,710—59.9———
ClawCraneNetVisual Backbone=ResNet-50, Text Encoder=bi-LSTM, Input Resolution=320x320, Training=A2D Sentences exclusively2021.0363.170.467.761.748.91,71049.459.9——9.27
BRINet2020.116355.746.43317.53.328.347.4———
CMDYInput=RGB2021.0562.360.752.540.523.54.533.353.1———
CMDY202022.0362.360.752.540.523.54.533.353.1———
CMDyPub.=AAAI202022.0662.360.752.540.523.54.533.353.1———
Wang et al.Training=A2D Sentences exclusively2021.0362.360.752.540.523.545033.353.1——7.18
CMDYVenue=AAAI2020, additional optical flow input=false2022.0462.360.752.540.523.54.533.353.1———
CMSA + CFSABackbone=ResNet-1012022.0161.848.743.135.823.1520—43.2———
CMSA-V212022.0361.848.743.135.823.15.2—43.2———
CMSA+CFSA2021.1161.848.743.135.823.15.2—43.2———
CMSAPub.=TPAMI212022.0661.848.743.135.823.15.2—43.2———
CMSA + CFSABackbone=ResNet-101, Online/Offline=offline2023.0761.848.743.135.823.1520—43.2———
AAMN2021.1161.768.162.952.329.62.9—55.2—39.6—
ACGAInput=RGB2021.0560.155.745.931.916227.449———
ACGANetModality=RGB2021.0560.155.745.931.916227.449———
ACANBackbone=I3D2022.0160.155.745.931.916200—4927.4——
ACGA192022.0360.155.745.931.916227.449———
ACGAPub.=ICCV192022.0660.155.745.931.916227.449———
ACANBackbone=I3D, Online/Offline=offline2023.0760.155.745.931.916200—49———
ACANBackbone=I3D2023.0760.1——————49—27.4—
Wang et al.Training=A2D Sentences exclusively2021.0360.155.745.931.91620027.449——8.64
ACGAVenue=ICCV2019, additional optical flow input=false2022.0460.155.745.931.916227.449———
ClawCraneNetBackbone=ResNet-50/1012023.0759.9————————63.1—
CMSA2020.1159.246.738.527.913.61.7—40.5———
Gavrilyuk et al.Training=A2D Sentences exclusively2021.0357.453.843.731.817.121026.948.1———
VT-CapsuleInput=RGB2021.0556.852.64534.520.73.630.346———
VT-Capsule202022.0356.852.64534.520.73.630.346———
VT-CapsulePub.=CVPR202022.0656.852.64534.520.73.630.346———
McIntosh et al.Training=A2D Sentences exclusively2021.0356.852.64534.520.736030.346———
VT-CapsuleVenue=CVPR2020, additional optical flow input=false2022.0456.852.64534.520.73.630.346———
RRN2020.1156.44235.527.515.42.522.437.3———
fully-convolutional modelInput modality=RGB + Flow2018.0355.15037.623.19.40.421.542.6———
Gavrilyuk et al.Input=RGB + Optical Flow2021.0555.15037.623.19.40.421.542.6———
Gavrilyuk et al.Modality=RGB+Flow2021.0555.15037.623.19.40.421.542.6———
Gavrilyuk et al.18additional optical flow input=true2022.0355.15037.623.19.40.421.542.6———
Gavrilyuk et al.Pub.=CVPR18, Additional optical flow inputs=true2022.0655.15037.623.19.40.421.542.6———
Gavrilyuk et al.Venue=CVPR2018, additional optical flow input=true2022.0455.15037.623.19.40.421.542.6———
fully-convolutional modelInput modality=RGB2018.0353.647.534.721.180.219.842.1———
Gavrilyuk et al.Input=RGB2021.0553.647.534.721.180.219.842.1———
Gavrilyuk et al.Modality=RGB2021.0553.647.534.721.180.219.842.1———
Gavrilyuk et al.Backbone=I3D2022.0153.647.534.721.1820—42.119.8——
Gavrilyuk et al.18additional optical flow input=false2022.0353.647.534.721.180.219.842.1———
Gavrilyuk et al.Input Modality=RGB2021.1153.647.534.721.180.2—42.1—19.8—