Multimodal Classification on Kinetics-Sounds
73.99AccuracySPICE-E
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SPICE-E2026.06 | 73.99 | 79.48 | |
| BSS-L2026.06 | 73.95 | 79.43 | |
| BSS-H2026.06 | 72.67 | 78.61 | |
| SPICE-S2026.06 | 72.41 | 78.07 | |
| AMSS2026.06 | 72.25 | 79.13 | |
| ReconBoost2026.06 | 70.85 | 74.24 | |
| MLA2026.06 | 70.04 | 74.13 | |
| MMPareto2026.06 | 70 | 78.5 | |
| SMV2026.06 | 69 | 74.26 | |
| OGR-GB2026.06 | 67.1 | 71.39 | |
| PMR2026.06 | 66.56 | 71.93 | |
| DOMFN2026.06 | 66.25 | 72.44 | |
| OGM2026.06 | 66.06 | 71.44 | |
| AGM2026.06 | 66.02 | 72.52 | |
| MSLR2026.06 | 65.91 | 71.96 | |
| ETMC2026.06 | 65.67 | 71.19 | |
| Weight2026.06 | 65.33 | 71.33 | |
| Sum2026.06 | 64.97 | 71.03 | |
| MSES2026.06 | 64.71 | 70.63 | |
| Concat2026.06 | 64.55 | 71.31 | |
| Affine2026.06 | 64.24 | 69.31 | |
| ML-LSTM2026.06 | 63.84 | 69.02 | |
| Channel2026.06 | 63.51 | 68.66 | |
| Video / OF2026.06 | 55.62 | 58.37 | |
| Audio / RGB2026.06 | 54.12 | 56.69 |