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Action Segmentation on Breakfast

84.5AccBIT
64.2269.48574.7580.015Jan 4, 2021Nov 28, 2021Oct 23, 2022Sep 16, 2023Aug 10, 2024Jul 4, 2025May 29, 2026

Evaluation results

MethodLinks
BITVideo Transcripts=true2023.0884.589.985.673.793.5——
PolyphonyInput=MAS2026.0582.586.182.273.284.3——
EASTInput=MAEv22026.0582.285.681.571.683.5——
PolyphonyInput=I3D2026.0578.681.977.868.379——
TCTr2023.0377.576.671.158.576.1—72
TCTr2024.1277.576.671.158.576.1—72
UVASTVideo Transcripts=true2023.087787.681.969.2———
DiffAct2023.0376.480.375.964.678.4—75.1
DiffActmulti-modal features=false2023.0376.480.375.964.678.4—75.1
DiffAct2024.1276.480.375.964.678.4—75.1
ActFusion2024.1276.48176.264.779.3—75.5
DiffActInput=I3D2026.0576.480.375.964.678.4——
FACTInput=I3D2026.0576.281.476.566.279.7——
C2F-TCNmulti-modal features=false2023.037672.268.757.669.6—68.8
TUTmulti-modal features=false2023.037676.271.96073.7—71.6
DTL2023.0375.878.874.562.977.7—73.9
DTL2024.1275.878.874.562.977.7—73.9
BIT2023.0875.580.675.964.779——
CETNet2022.0574.979.374.361.977.8——
CETNetmulti-modal features=false2023.0374.979.374.361.977.8—73.6
FAMMSDTN2023.0374.878.572.960.277.5—72.8
FAMMSDTN2024.1274.878.572.960.277.5—72.8
ASFormerVideo Transcripts=true2023.0874.685.478.563.9———
LTContext2024.1274.277.672.660.177—72.3
LTContextInput=I3D2026.0574.277.672.660.177——
Temporal Agg.2024.127478.873.760.877.8—73
ASFormerInference Algorithm=FIFA2022.0973.776.871.458.975.6——
Liu et al.multi-modal features=false2023.0373.777.572.359.576.7—71.9
ASFormer2021.1073.57670.657.475——
ASFormer2022.0573.57670.657.475——
Singhania et al.2022.0973.570.166.656.268.2——
ASFormer2022.0973.57670.657.475——
ASFormer2023.0373.57670.657.475—70.5
ASFormer2023.0873.57670.657.475——
ASFormer + KARI2024.1273.57670.657.475—70.5
C2F-TCNInput=I3D2026.0573.570.166.656.268.2——
ASFormerInput=I3D2026.0573.57670.657.475——
Ours†-BCNbackbone=BCN, search_pipeline=EGI local search2021.0172.972.569.960.269——
MSTCN++Video Transcripts=true2023.0872.28475.759.4———
DPRN2023.0371.775.670.557.675.1—70.1
SEDT2024.1271.775.670.557.675.1—70.1
MTDA2021.047174.268.656.573.6——
MTDA2023.037174.268.656.573.6—68.8
MTDA2024.127174.268.656.573.6—68.8
Ours‡-SSTDAbackbone=SSTDA, search_pipeline=global-to-local searched structure2021.0170.876.369.954.674.5——
C2F-TCN2022.0570.876.369.954.674.5——
Ours-MS-TCNbackbone=MS-TCN, search_pipeline=global-to-local2021.0170.774.96955.273.3——
Gao et al.2021.1070.774.96955.273.3——
Gao et al.2022.0970.774.96955.273.3——
G2L2023.0370.774.96955.273.3—68.6
Global2local2024.1270.774.96955.273.3—68.6
BCN2021.0170.468.765.55566.2——
BCN2021.1070.468.765.55566.2——
BCN2022.0570.468.765.55566.2——
BCN2022.0970.468.765.55566.2——
BCN2023.0370.468.765.55566.2—65.2
BCN2024.1270.468.765.55566.2—65.2
BCNInput=I3D2026.0570.468.765.55566.2——
SSTDAbackbone=MS-TCN2021.0170.27569.155.273.7——
SSTDA2022.0570.27569.155.273.7——
SSTDA2022.0970.27569.155.273.7——
ASFormerInference Algorithm=Viterbi2022.0970.276.170.557.174.5——
SSTDA2023.0370.27569.155.273.7—68.6
SSTDA2024.1270.27569.155.273.7—68.6
UVASTInference Algorithm=FIFA2022.0969.776.971.55877.1——
UVAST2023.0369.776.971.55877.1—70.6
UVAST2023.0869.776.971.55877.1——
UVAST2024.1269.776.971.55877.1—70.6
Ours†-MS-TCN++backbone=MS-TCN++, search_pipeline=EGI local search2021.0169.672.466.853.570.2——
HASR2023.0369.474.769.55771.9—68.5
HASR2024.1269.474.769.55771.9—68.5
DTGRM2021.1068.368.761.946.668.9——
DTGRM2022.0968.368.761.946.668.9——
DTGRMInput=I3D2026.0568.368.761.946.668.9——
UVASTDuration Modeling=alignment decoder2022.0968.276.77056.677.2——
ETSN2022.0567.8746956.270.3——
UARL2023.0367.865.259.447.466.2—61.2
DPRN2024.1267.865.259.447.466.2—61.2
MS-TCN++2021.0167.664.158.645.965.6——
ASRF2021.1067.674.368.956.172.4——
MS-TCN++2022.0567.664.158.645.965.6——
ASRF2022.0567.674.368.956.172.4——
MS-TCN++2022.0967.664.158.645.965.6——
ASRF2022.0967.674.368.956.172.4——
MS-TCN++2023.0367.664.158.645.965.6—60.4
ASRF2023.0367.674.368.956.172.4—67.9
MS-TCN++2023.0867.664.158.645.964.9——
ASRF2023.0867.674.368.956.172.4——
MS-TCN++2024.1267.664.158.645.965.6—60.4
ASFormer2024.1267.674.368.956.172.4—67.9
MS-TCNFeature Type=I3D2021.0466.352.648.137.961.7——
MS-TCN2021.0166.352.648.137.961.7——
MS-TCN2021.1066.352.648.137.961.7——
MS-TCN2022.0566.352.648.137.961.7——
MS-TCN2024.1266.352.648.137.961.7—53.3
MS-TCNInput=I3D2026.0566.352.648.137.961.7——
UVASTInference Algorithm=Viterbi2022.096675.97057.276.5——
MS-TCNFeature Type=IDT2021.0465.158.252.940.861.4——
GTRM2021.016557.55443.358.7——
GTRM2023.036557.55443.358.7—55.7