HyperAI

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

Model Name
MRR
Mean Rank
R@1
R@10
R@5
Paper TitleRepository
CoAtt63.984.4750.2988.8180.71Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning-
HACAN0.67923.9754.7690.6883.03Making History Matter: History-Advantage Sequence Training for Visual Dialog-
HRE-QIH-D0.58465.7244.6784.2274.50Visual Dialog
DAN66.384.0453.3390.3882.42Dual Attention Networks for Visual Reference Resolution in Visual Dialog
CorefNMN63.64.5350.2488.5179.81Visual Coreference Resolution in Visual Dialog using Neural Module Networks
CAG0.67563.7554.6491.4883.72Iterative Context-Aware Graph Inference for Visual Dialog
DualVD62.944.1748.6489.9480.89DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
HRE-QIH-D0.58075.7843.8284.0774.68Visual Dialog
MVAN0.67653.7354.6591.4783.85Multi-View Attention Network for Visual Dialog
AMEM-4.8648.5387.4378.66Visual Reference Resolution using Attention Memory for Visual Dialog-
CorefNMN (ResNet-152)64.14.4550.9288.8180.18Visual Coreference Resolution in Visual Dialog using Neural Module Networks
RVA0.66343.9352.7190.7382.97Recursive Visual Attention in Visual Dialog
HCIAE-NP-ATT62.224.8148.4887.5978.75Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
9xFGA (VGG)68.923.3955.1692.9586.26Factor Graph Attention
HieCoAtt-QI57.885.8443.5183.9674.49Hierarchical Question-Image Co-Attention for Visual Question Answering
MN-QIH-D0.59655.4645.5585.3776.22Visual Dialog
GNN0.62854.5748.9588.3679.65Reasoning Visual Dialogs with Structural and Partial Observations
SF-QIH-se-262.424.7048.5587.7578.96Two can play this Game: Visual Dialog with Discriminative Question Generation and Answering-
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