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Video Alignment
벤치마크
Video Alignment on UPenn Action
8개 결과 ·
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Kendall's Tau
0.7286
0.7383
0.7479
0.7575
0.7672
2017-04
2026-09
TCN — 0.7353 (2017-04-23)
TCN — 0.7353 (2017-04-23)
TCC + TCN — 0.7672 (2019-04-16)
TCC + SaL — 0.7286 (2019-04-16)
TCC + TCN — 0.7672 (2019-04-16)
TCC + SaL — 0.7286 (2019-04-16)
Pr-VIPE — 0.7476 (2019-12-02)
Pr-VIPE — 0.7476 (2019-12-02)
TCN — 0.7353 (2017-04-23)
TCC + TCN — 0.7672 (2019-04-16)
2017-04-23 — TCN: Kendall's Tau 0.7353
2019-04-16 — TCC + TCN: Kendall's Tau 0.7672
Rank
Model
Kendall's Tau
Paper
Code
Year
1
TCC + TCN
0.7672
Temporal Cycle-Consistency Learning
google-research/google-research
·
June01/tcc_Temporal_Cycle_Consistency_Loss.pytorch
2019
2
Pr-VIPE
0.7476
View-Invariant Probabilistic Embedding for Human Pose
google-research/google-research
·
google-research/google-research
2019
3
TCN
0.7353
Time-Contrastive Networks: Self-Supervised Learning from Video
tensorflow/models
·
tensorflow/models
·
tensorflow/models
·
+4
2017
4
TCC + SaL
0.7286
Temporal Cycle-Consistency Learning
google-research/google-research
·
June01/tcc_Temporal_Cycle_Consistency_Loss.pytorch
2019
5
TCC + TCN
0.7672
Temporal Cycle-Consistency Learning
google-research/google-research
·
June01/tcc_Temporal_Cycle_Consistency_Loss.pytorch
2019
6
Pr-VIPE
0.7476
View-Invariant Probabilistic Embedding for Human Pose
google-research/google-research
·
google-research/google-research
2019
7
TCN
0.7353
Time-Contrastive Networks: Self-Supervised Learning from Video
tensorflow/models
·
tensorflow/models
·
tensorflow/models
·
+4
2017
8
TCC + SaL
0.7286
Temporal Cycle-Consistency Learning
google-research/google-research
·
June01/tcc_Temporal_Cycle_Consistency_Loss.pytorch
2019
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