Video Saliency Prediction on SumMe (test)
0.471CCAViNet(C)
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| AViNet(C)Fusion method=Concatenation2020.12 | 0.471 | 0.699 | 0.899 | 2.42 | 0.346 | |
| ViNetFine-tuned on audio-visual datasets=true2020.12 | 0.466 | 0.696 | 0.898 | 2.4 | 0.345 | |
| AViNet(B)Fusion method=Bilinear2020.12 | 0.463 | 0.692 | 0.897 | 2.41 | 0.343 | |
| ViNet(NF)Fine-tuned on audio-visual datasets=false2020.12 | 0.455 | 0.687 | 0.893 | 2.35 | 0.349 | |
| TASED-Net2020.12 | 0.428 | 0.657 | 0.884 | 2.1 | 0.333 | |
| STAVIS2020.12 | 0.422 | 0.656 | 0.888 | 2.04 | 0.337 | |
| ACLNet2020.12 | 0.379 | 0.609 | 0.868 | 1.79 | 0.296 |