SOTAVerified

Visual Dialog

Visual Dialog requires an AI agent to hold a meaningful dialog with humans in natural, conversational language about visual content. Specifically, given an image, a dialog history, and a follow-up question about the image, the task is to answer the question.

Papers

Showing 5175 of 118 papers

TitleStatusHype
Effective questions in referential visual dialogue0
ORD: Object Relationship Discovery for Visual Dialogue Generation0
History for Visual Dialog: Do we really need it?Code1
Multi-View Attention Network for Visual DialogCode1
VD-BERT: A Unified Vision and Dialog Transformer with BERTCode1
Reasoning Visual Dialog with Sparse Graph Learning and Knowledge TransferCode1
Iterative Context-Aware Graph Inference for Visual DialogCode1
Modality-Balanced Models for Visual Dialogue0
Ensemble based discriminative models for Visual Dialog Challenge 20180
Vision and Language: from Visual Perception to Content Creation0
DMRM: A Dual-channel Multi-hop Reasoning Model for Visual DialogCode0
Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art BaselineCode1
TAB-VCR: Tags and Attributes based VCR BaselinesCode0
Efficient Attention Mechanism for Visual Dialog that can Handle All the Interactions between Multiple InputsCode0
Two Causal Principles for Improving Visual DialogCode0
An Annotated Corpus of Reference Resolution for Interpreting Common GroundingCode1
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual DialogueCode0
Visual Dialogue State Tracking for Question GenerationCode1
Video Dialog via Progressive Inference and Cross-Transformer0
TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning BaselinesCode0
Granular Multimodal Attention Networks for Visual Dialog0
Improving Generative Visual Dialog by Answering Diverse QuestionsCode0
On Controlled DeEntanglement for Natural Language Processing0
Probabilistic framework for solving Visual Dialog0
Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SingleNDCG (x 100)78.7Unverified
2P1P2+Distill+EnsembleNDCG (x 100)77.92Unverified
3Ensemble + Fine-tuningNDCG (x 100)76.43Unverified
4ensemble, finetuneNDCG (x 100)76.17Unverified
5VD-PCRNDCG (x 100)76.14Unverified
6EnsembleNDCG (x 100)75.35Unverified
7Ensemble + FinetuneNDCG (x 100)74.88Unverified
8bert-double-stream-finetuningNDCG (x 100)74.62Unverified
9CE-finetuned, single modelNDCG (x 100)74.47Unverified
102NDCG (x 100)73.36Unverified
#ModelMetricClaimedVerifiedStatus
19xFGA (VGG)MRR68.92Unverified
2DANMRR66.38Unverified
3CorefNMN (ResNet-152)MRR64.1Unverified
4CoAttMRR63.98Unverified
5CorefNMNMRR63.6Unverified
6DualVDMRR62.94Unverified
7SF-QIH-se-2MRR62.42Unverified
8HCIAE-NP-ATTMRR62.22Unverified
9HieCoAtt-QIMRR57.88Unverified
10AMEMR@148.53Unverified
#ModelMetricClaimedVerifiedStatus
15xFGA + LSNDCG64.04Unverified
25xFGA + LS*+MRR0.71Unverified
3Two-StepMRR0.7Unverified
#ModelMetricClaimedVerifiedStatus
1Multi-Modal BlenderBotBLEU-41Unverified
#ModelMetricClaimedVerifiedStatus
1Multi-Modal BlenderBotBLEU-41.1Unverified
#ModelMetricClaimedVerifiedStatus
1Multi-Modal BlenderBotBLEU-41.5Unverified
#ModelMetricClaimedVerifiedStatus
1Multi-Modal BlenderBotBLEU-440Unverified
#ModelMetricClaimedVerifiedStatus
1Multi-Modal BlenderBotBLEU-42.2Unverified