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SOTA
Visual Dialog
Visual Dialog On Visdial V09 Val
Visual Dialog On Visdial V09 Val
Metrics
MRR
Mean Rank
R@1
R@10
R@5
Results
Performance results of various models on this benchmark
Columns
Model Name
MRR
Mean Rank
R@1
R@10
R@5
Paper Title
Repository
CoAtt
63.98
4.47
50.29
88.81
80.71
Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning
-
HACAN
0.6792
3.97
54.76
90.68
83.03
Making History Matter: History-Advantage Sequence Training for Visual Dialog
-
HRE-QIH-D
0.5846
5.72
44.67
84.22
74.50
Visual Dialog
-
DAN
66.38
4.04
53.33
90.38
82.42
Dual Attention Networks for Visual Reference Resolution in Visual Dialog
-
CorefNMN
63.6
4.53
50.24
88.51
79.81
Visual Coreference Resolution in Visual Dialog using Neural Module Networks
-
CAG
0.6756
3.75
54.64
91.48
83.72
Iterative Context-Aware Graph Inference for Visual Dialog
-
DualVD
62.94
4.17
48.64
89.94
80.89
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
-
HRE-QIH-D
0.5807
5.78
43.82
84.07
74.68
Visual Dialog
-
MVAN
0.6765
3.73
54.65
91.47
83.85
Multi-View Attention Network for Visual Dialog
-
AMEM
-
4.86
48.53
87.43
78.66
Visual Reference Resolution using Attention Memory for Visual Dialog
-
CorefNMN (ResNet-152)
64.1
4.45
50.92
88.81
80.18
Visual Coreference Resolution in Visual Dialog using Neural Module Networks
-
RVA
0.6634
3.93
52.71
90.73
82.97
Recursive Visual Attention in Visual Dialog
-
HCIAE-NP-ATT
62.22
4.81
48.48
87.59
78.75
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
-
9xFGA (VGG)
68.92
3.39
55.16
92.95
86.26
Factor Graph Attention
-
HieCoAtt-QI
57.88
5.84
43.51
83.96
74.49
Hierarchical Question-Image Co-Attention for Visual Question Answering
-
MN-QIH-D
0.5965
5.46
45.55
85.37
76.22
Visual Dialog
-
GNN
0.6285
4.57
48.95
88.36
79.65
Reasoning Visual Dialogs with Structural and Partial Observations
-
SF-QIH-se-2
62.42
4.70
48.55
87.75
78.96
Two can play this Game: Visual Dialog with Discriminative Question Generation and Answering
-
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