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SOTA
视频显著性检测
Video Saliency Detection On Msu Video
Video Saliency Detection On Msu Video
评估指标
AUC-J
CC
FPS
KLDiv
NSS
SIM
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
AUC-J
CC
FPS
KLDiv
NSS
SIM
Paper Title
Repository
ViNet (dave)
0.864
0.733
1.10
0.497
2.13
0.627
ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction
DINet
0.858
0.671
4.85
0.575
1.85
0.592
A Dilated Inception Network for Visual Saliency Prediction
UNISAL (videos)
0.858
0.707
70.46
0.536
2.03
0.609
Unified Image and Video Saliency Modeling
TASED-Net
0.852
0.710
1.85
0.538
1.96
0.610
TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection
MSI-Net (dutomron)
0.852
0.690
1.28
0.537
1.82
0.607
Contextual Encoder-Decoder Network for Visual Saliency Prediction
HD2S
0.844
0.707
24.51
0.545
1.89
0.615
Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction
STRA-Net
0.841
0.665
3.35
0.583
1.81
0.591
Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network
ACLNet
0.839
0.651
4.18
0.593
1.71
0.586
Revisiting Video Saliency: A Large-scale Benchmark and a New Model
SalEMA
0.821
0.636
32.97
0.647
1.63
0.571
Simple vs complex temporal recurrences for video saliency prediction
HFT
0.814
0.577
3.63
0.698
1.35
0.550
Visual Saliency Based on Scale-Space Analysis in the Frequency Domain
-
ITTI
0.811
0.572
2.23
0.799
1.34
0.544
A model of saliency-based visual attention for rapid scene analysis
-
GBVS
0.810
0.572
1.93
0.709
1.33
0.546
Graph-Based Visual Saliency
-
GASP
0.810
0.613
3.77
0.687
1.57
0.557
GASP: Gated Attention For Saliency Prediction
DeepVS
0.804
0.586
3.29
0.707
1.44
0.548
DeepVS: A Deep Learning Based Video Saliency Prediction Approach
-
0 of 14 row(s) selected.
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