Dense anticipation mean over classes on Breakfast (test)
12.8Mean Error @ 10% HorizonCNN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| CNNInput Type=Features (Fisher), Observation %=20%2020.06 | 12.8 | 11.6 | 11.2 | 10.3 | |
| Temporal Aggregate Representations (ours)Input Type=Features (Fisher), Observation %=20%2020.06 | 15.6 | 13.1 | 12.1 | 11.1 | |
| CNNInput Type=Features (Fisher), Observation %=30%2020.06 | 17.7 | 16.9 | 15.5 | 14.1 | |
| CNNInput Type=Labels (Fisher + [29]), Observation %=20%2020.06 | 17.9 | 16.4 | 15.4 | 14.5 | |
| RNNInput Type=Labels (Fisher + [29]), Observation %=20%2020.06 | 18.1 | 17.2 | 15.9 | 15.8 | |
| KeInput Type=Labels (Fisher + [29]), Observation %=20%2020.06 | 18.4 | 17.2 | 16.4 | 15.8 | |
| Temporal Aggregate Representations (ours)Input Type=Labels (Fisher + [29]), Observation %=20%2020.06 | 18.8 | 16.9 | 16.5 | 15.4 | |
| Temporal Aggregate Representations (ours)Input Type=Features (Fisher), Observation %=30%2020.06 | 19.5 | 17 | 15.6 | 15.1 | |
| RNNInput Type=Labels (Fisher + [29]), Observation %=30%2020.06 | 21.6 | 20 | 19.7 | 19.2 | |
| CNNInput Type=Labels (Fisher + [29]), Observation %=30%2020.06 | 22.4 | 20.1 | 19.7 | 18.8 | |
| KeInput Type=Labels (Fisher + [29]), Observation %=30%2020.06 | 22.8 | 20.4 | 19.6 | 19.8 | |
| Temporal Aggregate Representations (ours)Input Type=Labels (Fisher + [29]), Observation %=30%2020.06 | 23 | 20 | 19.9 | 18.6 | |
| Temporal Aggregate Representations (ours)Input Type=Concatenate Features (Fisher) and Labels (Fisher + [29]), Observation %=30%2020.06 | 23 | 20.5 | 19.8 | 19.8 | |
| Temporal Aggregate Representations (ours)Input Type=Features (I3D), Observation %=20%2020.06 | 24.2 | 21.1 | 20 | 18.1 | |
| Temporal Aggregate Representations (ours)Input Type=Concatenate Features (Fisher) and Labels (Fisher + [29]), Observation %=20%2020.06 | 25 | 21.9 | 20.5 | 18.1 | |
| Temporal Aggregate Representations (ours)Input Type=Features (I3D), Observation %=30%2020.06 | 30.4 | 26.3 | 23.8 | 21.2 | |
| Temporal Aggregate Representations (ours)Input Type=Concatenate D and E, Observation %=20%2020.06 | 37.1 | 31.8 | 30.1 | 27.1 | |
| Temporal Aggregate Representations (ours)Input Type=Labels (I3D + our seg.), Observation %=20%2020.06 | 37.4 | 31.2 | 30 | 26.1 | |
| Temporal Aggregate Representations (ours)Input Type=Labels (I3D + our seg.), Observation %=30%2020.06 | 39.5 | 34.1 | 31 | 27.9 | |
| Temporal Aggregate Representations (ours)Input Type=Concatenate D and E, Observation %=30%2020.06 | 39.8 | 34.2 | 31.9 | 27.8 | |
| CNNInput Type=Labels (GT), Observation %=20%2020.06 | 58 | 49.1 | 44 | 39.3 | |
| CNNInput Type=Labels (GT), Observation %=30%2020.06 | 60.3 | 50.1 | 45.2 | 40.5 | |
| RNNInput Type=Labels (GT), Observation %=20%2020.06 | 60.4 | 50.4 | 45.3 | 40.4 | |
| RNNInput Type=Labels (GT), Observation %=30%2020.06 | 61.5 | 50.3 | 45 | 41.8 | |
| KeInput Type=Labels (GT), Observation %=20%2020.06 | 64.5 | 56.3 | 50.2 | 44 | |
| Temporal Aggregate Representations (ours)Input Type=Labels (GT), Observation %=20%2020.06 | 65.5 | 55.5 | 46.8 | 40.1 | |
| KeInput Type=Labels (GT), Observation %=30%2020.06 | 66 | 55.9 | 49.1 | 44.2 | |
| Temporal Aggregate Representations (ours)Input Type=Labels (GT), Observation %=30%2020.06 | 67.4 | 56.1 | 47.4 | 42.3 |