Temporal Action Localization on MYT (test)
32IODMCN (ours)
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MCN (ours)Modality=VAT, Model=R152+RX101, Trainable backbone=N2021.04 | 32 | 18.1 | 23.1 | |
| MCNMod=VAT, Model=R152+RX101, Dataset=HT+ImNet+K400, Com=4 V100, Time=2 days, TR=N2021.04 | 32 | 18.1 | 23.1 | |
| MIL-NCE*Modality=VT, Model=R152+RX101, Trainable backbone=N2021.04 | 26.4 | 14.9 | 17.8 | |
| MIL-NCE* [37]Mod=VT, Model=R152+RX101, Dataset=HT+ImNet+K400, Com=4 V100, Time=2 days, TR=N2021.04 | 26.4 | 14.9 | 17.8 | |
| Mining: MLPModality=VT, Model=TSN, Trainable backbone=N2021.04 | 19.2 | — | 9.8 | |
| Mining: MLP [30]Mod=VT, Model=TSN, Dataset=MiningYouTube, TR=N2021.04 | 19.2 | — | 9.8 | |
| MiechModality=VT, Model=R152+RX101, Trainable backbone=N2021.04 | 17.2 | 15 | 11.4 | |
| Miech [38]Mod=VT, Model=R152+RX101, Dataset=HT+ImNet+K400, Com=1 V100, Time=1 day, TR=N2021.04 | 17.2 | 15 | 11.4 | |
| Mining: GRUModality=VT, Model=TSN, Trainable backbone=N2021.04 | 14.5 | — | 7.8 | |
| Mining: GRU [30]Mod=VT, Model=TSN, Dataset=MiningYouTube, TR=N2021.04 | 14.5 | — | 7.8 |