Video Saliency Prediction on AVAD (test)
0.694CCViNet
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ViNetFine-tuned on audio-visual datasets=true2020.12 | 0.694 | 0.663 | 0.928 | 3.82 | 0.504 | |
| AViNet(C)Fusion method=Concatenation2020.12 | 0.683 | 0.661 | 0.931 | 3.74 | 0.494 | |
| AViNet(B)Fusion method=Bilinear2020.12 | 0.674 | 0.658 | 0.927 | 3.77 | 0.491 | |
| ViNet(NF)Fine-tuned on audio-visual datasets=false2020.12 | 0.665 | 0.651 | 0.923 | 3.67 | 0.501 | |
| STAVIS2020.12 | 0.608 | 0.593 | 0.919 | 3.18 | 0.457 | |
| TASED-Net2020.12 | 0.601 | 0.589 | 0.914 | 3.16 | 0.439 | |
| ACLNet2020.12 | 0.58 | 0.56 | 0.905 | 3.17 | 0.446 |