Action Anticipation on Breakfast
32.27MoC AccuracyFUTR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FUTRinput type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.12022.05 | 32.27 | — | |
| Temporal Agg.input type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.12022.05 | 30.4 | — | |
| FUTRinput type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.22022.05 | 29.88 | — | |
| Cycle Cons.input type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.12022.05 | 29.66 | — | |
| FUTRinput type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.12022.05 | 27.7 | — | |
| FUTRinput type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.32022.05 | 27.49 | — | |
| Cycle Cons.input type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.22022.05 | 27.37 | — | |
| Temporal Agg.input type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.22022.05 | 26.3 | — | |
| Cycle Cons.input type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.12022.05 | 25.88 | — | |
| FUTRinput type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.52022.05 | 25.87 | — | |
| Cycle Cons.input type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.32022.05 | 25.58 | — | |
| Cycle Cons.input type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.52022.05 | 25.2 | — | |
| FUTRinput type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.22022.05 | 24.55 | — | |
| Temporal Agg.input type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.12022.05 | 24.2 | — | |
| Temporal Agg.input type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.32022.05 | 23.8 | — | |
| Cycle Cons.input type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.22022.05 | 23.42 | — | |
| FUTRinput type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.32022.05 | 22.83 | — | |
| Time-Cond.input type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.12022.05 | 22.75 | — | |
| CNNinput type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.12022.05 | 22.44 | — | |
| Cycle Cons.input type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.32022.05 | 22.42 | — | |
| FUTRinput type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.52022.05 | 22.04 | — | |
| RNNinput type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.12022.05 | 21.64 | — | |
| Cycle Cons.input type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.52022.05 | 21.54 | — | |
| Temporal Agg.input type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.52022.05 | 21.2 | — | |
| Temporal Agg.input type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.22022.05 | 21.1 | — | |
| UAAA (mode)input type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.12022.05 | 20.73 | — | |
| Time-Cond.input type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.22022.05 | 20.44 | — | |
| CNNinput type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.22022.05 | 20.12 | — | |
| RNNinput type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.22022.05 | 20.02 | — | |
| Temporal Agg.input type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.32022.05 | 20 | — | |
| Time-Cond.input type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.52022.05 | 19.75 | — | |
| RNNinput type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.32022.05 | 19.73 | — | |
| CNNinput type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.32022.05 | 19.69 | — | |
| Time-Cond.input type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.32022.05 | 19.64 | — | |
| RNNinput type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.52022.05 | 19.21 | — | |
| CNNinput type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.52022.05 | 18.76 | — | |
| UAAA (mode)input type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.32022.05 | 18.42 | — | |
| Time-Cond.input type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.12022.05 | 18.41 | — | |
| UAAA (mode)input type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.22022.05 | 18.27 | — | |
| RNNinput type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.12022.05 | 18.11 | — | |
| Temporal Agg.input type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.52022.05 | 18.1 | — | |
| CNNinput type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.12022.05 | 17.9 | — | |
| CNNinput type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.12022.05 | 17.72 | — | |
| Time-Cond.input type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.22022.05 | 17.21 | — | |
| RNNinput type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.22022.05 | 17.2 | — | |
| CNNinput type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.22022.05 | 16.87 | — | |
| UAAA (mode)input type=label, observation rate (alpha)=0.3, prediction rate (beta)=0.52022.05 | 16.86 | — | |
| UAAA (mode)input type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.12022.05 | 16.71 | — | |
| Time-Cond.input type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.32022.05 | 16.42 | — | |
| CNNinput type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.22022.05 | 16.35 | — | |
| RNNinput type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.32022.05 | 15.94 | — | |
| Time-Cond.input type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.52022.05 | 15.84 | — | |
| RNNinput type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.52022.05 | 15.81 | — | |
| CNNinput type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.32022.05 | 15.48 | — | |
| UAAA (mode)input type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.22022.05 | 15.4 | — | |
| CNNinput type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.32022.05 | 15.37 | — | |
| CNNinput type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.52022.05 | 14.54 | — | |
| UAAA (mode)input type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.32022.05 | 14.47 | — | |
| UAAA (mode)input type=label, observation rate (alpha)=0.2, prediction rate (beta)=0.52022.05 | 14.2 | — | |
| CNNinput type=features, observation rate (alpha)=0.3, prediction rate (beta)=0.52022.05 | 14.09 | — | |
| CNNinput type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.12022.05 | 12.78 | — | |
| CNNinput type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.22022.05 | 11.62 | — | |
| CNNinput type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.32022.05 | 11.21 | — | |
| CNNinput type=features, observation rate (alpha)=0.2, prediction rate (beta)=0.52022.05 | 10.27 | — | |
| BaselineBackbone=Resnet18(2D+1D), Temporal gap=1.0s2021.05 | — | 24.3 | |
| CNNModel architecture=CNN, Reference=[1], Temporal gap=1.0s2021.05 | — | 27 | |
| Our modelFeatures=Fisher Vector (FV), Loss functions=JVS, JCC, JFIP, Temporal gap=1.0s2021.05 | — | 33.6 | |
| Our modelBackbone=Resnet18(2D+1D), Loss functions=JVS, JCC, JFIP, Temporal gap=1.0s2021.05 | — | 34.6 | |
| Our modelFeatures=FV + Resnet18(2D+1D), Loss functions=JVS, JCC, JFIP, Temporal gap=1.0s2021.05 | — | 41.8 | |
| Predictive + Transitional (AR)Temporal gap=1.0s2021.05 | — | 32.3 | |
| RNNModel architecture=RNN, Reference=[1], Temporal gap=1.0s2021.05 | — | 30.1 | |
| TABFeatures=Fisher Vector (FV), Temporal gap=1.0s2021.05 | — | 29.7 | |
| TABFeatures=I3D, Temporal gap=1.0s2021.05 | — | 40.1 |