Video saliency prediction on UCF sports (test)

0.584SIMAAM

Evaluation Results

Method
AAM2026.06	0.584	—	—	0.736	3.892	0.943
VSSM2026.06	0.56	—	—	0.705	3.908	0.936
TFS-Net2026.06	0.558	—	—	0.664	3.653	0.93
MSFF-Net2026.06	0.557	—	—	0.698	3.769	0.933
SALSAC2020.12	0.534	—	0.806	0.671	3.52	0.926
UNISAL2020.03	0.523	0.918	0.775	0.644	3.381	—
UNISAL2020.12	0.523	—	0.775	0.644	3.38	0.918
ViNet2020.12	0.522	—	0.81	0.673	3.62	0.924
UNISAL2020.03	0.514	0.917	0.786	0.642	3.26	—
UNISAL2020.03	0.502	0.908	0.764	0.614	3.076	—
UNISAL2026.06	0.498	—	—	0.636	3.189	0.917
Attentive CNN-LSTM2018.01	0.496	0.905	0.767	0.603	3.2	—
STRA-Net2020.03	0.479	0.91	0.751	0.593	3.018	—
STRA-Net2020.12	0.479	—	0.751	0.593	3.01	0.91
SalCLSTM2019.07	0.477	0.914	0.782	0.611	3.063	—
TASED-Net2019.08	0.469	0.899	0.752	0.582	2.92	—
TASED-Net2020.03	0.469	0.899	0.752	0.582	2.92	—
TASED-Net2020.12	0.469	—	0.752	0.582	2.92	0.899
UNISAL2020.03	0.443	0.896	0.717	0.553	2.689	—
UNISAL2020.03	0.44	0.892	0.735	0.566	2.768	—
SalEMA2019.07	0.431	0.906	0.74	0.544	2.638	—
SalEMA2020.03	0.431	0.906	0.74	0.544	2.638	—
SALEMA2020.12	0.431	—	0.74	0.544	2.63	0.906
UNISAL2020.03	0.428	0.892	0.776	0.561	2.74	—
Attentive CNN-LSTM2018.01	0.406	0.897	0.744	0.51	2.567	—
ACLnet2019.07	0.406	0.897	0.744	0.51	2.567	—
ACLNet2019.08	0.406	0.897	0.744	0.51	2.567	—
ACLNet2020.03	0.406	0.897	0.744	0.51	2.567	—
ACLNet2020.12	0.406	—	0.744	0.51	2.56	0.897
Attentive CNN-LSTM2018.01	0.403	0.894	0.742	0.517	2.559	—
DVA2020.03	0.387	0.892	0.74	0.492	2.503	—
SalEMA2020.03	0.381	0.899	0.769	0.521	2.503	—
Attentive CNN-LSTM (Attention module ablation)2018.01	0.379	0.877	0.685	0.411	1.899	—
Deep-Net2020.03	0.365	0.88	0.729	0.475	2.448	—
Attentive CNN-LSTM2018.01	0.364	0.874	0.727	0.452	2.186	—
Attentive CNN-LSTM (Attention module ablation)2018.01	0.354	0.884	0.743	0.5	2.339	—
DVA2018.01	0.339	0.872	0.725	0.439	2.311	—
DVA2019.07	0.339	0.872	0.725	0.439	2.311	—
DVA2019.08	0.339	0.872	0.725	0.439	2.311	—
DVA2020.03	0.339	0.872	0.725	0.439	2.311	—
Attentive CNN-LSTM (Attention module ablation)2018.01	0.333	0.853	0.719	0.435	1.946	—
SalGAN2020.03	0.332	0.876	0.762	0.47	2.238	—
Attentive CNN-LSTM (Attention module ablation)2018.01	0.322	0.86	0.656	0.367	1.667	—
OM-CNN2018.01	0.321	0.87	0.691	0.405	2.089	—
OM-CNN2019.07	0.321	0.87	0.691	0.405	2.089	—
OM-CNN2019.08	0.321	0.87	0.691	0.405	2.089	—
SalNet2020.03	0.321	0.87	0.691	0.405	2.089	—
Seo et al.2018.01	0.308	0.831	0.666	0.336	1.69	—
Seo et al.2020.03	0.308	0.831	0.666	0.336	1.69	—
Fang et al.2018.01	0.307	0.845	0.674	0.395	1.787	—
Fang et al.2020.03	0.307	0.845	0.674	0.395	1.787	—
SALICON2018.01	0.304	0.848	0.738	0.375	1.838	—
SALICON2020.03	0.304	0.848	0.738	0.375	1.838	—
Deep-Net2018.01	0.282	0.861	0.719	0.414	1.903	—
Deep Net2019.08	0.282	0.861	0.719	0.414	1.903	—
Deep-Net2020.03	0.282	0.861	0.719	0.414	1.903	—
Hou et al.2018.01	0.276	0.819	0.674	0.292	1.399	—
Shallow-Net2018.01	0.276	0.846	0.691	0.382	1.789	—
Hou et al.2020.03	0.276	0.819	0.674	0.292	1.399	—
Shallow-Net2020.03	0.276	0.846	0.691	0.382	1.789	—
GBVS2018.01	0.274	0.859	0.697	0.396	1.818	—
GBVS2019.08	0.274	0.859	0.697	0.396	1.818	—
GBVS2020.03	0.274	0.859	0.697	0.396	1.818	—
Rudoy et al.2018.01	0.271	0.763	0.637	0.344	1.619	—
Rudoy et al.2020.03	0.271	0.763	0.637	0.344	1.619	—
Two-stream2018.01	0.264	0.832	0.685	0.343	1.753	—
OM-CNN2020.03	0.264	0.832	0.685	0.343	1.753	—
Two-stream2020.03	0.264	0.832	0.685	0.343	1.753	—
ITTI2018.01	0.251	0.847	0.725	0.356	1.64	—
ITTI2020.03	0.251	0.847	0.725	0.356	1.64	—
PQFT2018.01	0.25	0.825	0.722	0.338	1.78	—
PQFT2020.03	0.25	0.825	0.722	0.338	1.78	—
AWS-D2018.01	0.228	0.823	0.75	0.306	1.631	—
AWS-D2020.03	0.228	0.823	0.75	0.306	1.631	—
OBDL2018.01	0.193	0.759	0.634	0.234	1.382	—
OBDL2020.03	0.193	0.759	0.634	0.234	1.382	—