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ResearchFormerly WizWand

Long-term Action Anticipation on 50 Salads

39.55MoC AccuracyFUTR
8.578816.619424.6632.7006May 27, 2022
Updated 8mo ago

Evaluation results

MethodLinks
FUTRinput type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.12022.0539.55
FUTRinput type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.12022.0535.15
Time-Cond.input type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.12022.0535.12
Cycle Cons.input type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.12022.0534.76
Cycle Cons.input type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.12022.0534.39
Time-Cond.input type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.12022.0532.51
RNNinput type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.12022.0530.77
Temporal Agg.input type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.12022.0530.6
RNNinput type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.12022.0530.06
CNNinput type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.12022.0529.14
UAAA (mode)input type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.12022.0529.1
Cycle Cons.input type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.22022.0528.41
Time-Cond.input type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.22022.0527.61
FUTRinput type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.22022.0527.54
Time-Cond.input type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.22022.0527.05
Temporal Agg.input type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.12022.0525.5
RNNinput type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.22022.0525.43
UAAA (mode)input type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.12022.0524.86
FUTRinput type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.22022.0524.86
FUTRinput type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.32022.0524.22
Cycle Cons.input type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.22022.0523.7
FUTRinput type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.32022.0523.31
Temporal Agg.input type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.22022.0522.5
UAAA (mode)input type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.22022.0522.37
Time-Cond.input type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.32022.0522.05
Cycle Cons.input type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.32022.0521.82
Time-Cond.input type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.32022.0521.26
CNNinput type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.12022.0521.24
UAAA (mode)input type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.22022.0520.5
CNNinput type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.22022.0520.12
Temporal Agg.input type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.22022.0519.9
UAAA (mode)input type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.32022.0519.88
Temporal Agg.input type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.32022.0519.1
CNNinput type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.22022.0519.03
Cycle Cons.input type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.32022.0518.95
RNNinput type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.32022.0518.74
Temporal Agg.input type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.32022.0518.2
FUTRinput type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.52022.0517.77
CNNinput type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.32022.0517.46
RNNinput type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.22022.0517.19
Time-Cond.input type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.52022.0515.99
CNNinput type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.32022.0515.98
Cycle Cons.input type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.52022.0515.89
Time-Cond.input type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.52022.0515.59
UAAA (mode)input type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.32022.0515.28
FUTRinput type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.52022.0515.26
Cycle Cons.input type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.52022.0515.25
Temporal Agg.input type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.52022.0515.1
RNNinput type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.32022.0514.79
RNNinput type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.52022.0513.49
UAAA (mode)input type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.52022.0512.82
UAAA (mode)input type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.52022.0512.31
Temporal Agg.input type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.52022.0511.2
CNNinput type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.52022.0510.86
CNNinput type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.52022.059.87
RNNinput type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.52022.059.77