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

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Showing 51–100 of 118 papers

TitleStatusHype
DMRM: A Dual-channel Multi-hop Reasoning Model for Visual DialogCode0
Dual Attention Networks for Visual Reference Resolution in Visual DialogCode0
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual DialogueCode0
Two Causal Principles for Improving Visual DialogCode0
UNITER-Based Situated Coreference Resolution with Rich Multimodal InputCode0
On Controlled DeEntanglement for Natural Language Processing—0
Vision and Language: from Visual Perception to Content Creation—0
Visual Reference Resolution using Attention Memory for Visual Dialog—0
Visual-Textual Alignment for Graph Inference in Visual Dialog—0
VU-BERT: A Unified framework for Visual Dialog—0
What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog.—0
What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog—0
What's to know? Uncertainty as a Guide to Asking Goal-oriented Questions—0
Video Dialog via Progressive Inference and Cross-Transformer—0
Adversarial Robustness of Visual Dialog—0
Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations—0
A Generative Adversarial Density Estimator—0
Gold Seeker: Information Gain from Policy Distributions for Goal-oriented Vision-and-Langauge Reasoning—0
Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning—0
A survey on knowledge-enhanced multimodal learning—0
Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation—0
Evaluating and Improving Interactions with Hazy Oracles—0
Connecting Language and Vision to Actions—0
Discourse Analysis for Evaluating Coherence in Video Paragraph Captions—0
Effective questions in referential visual dialogue—0
Enhancing Visual Dialog State Tracking through Iterative Object-Entity Alignment in Multi-Round Conversations—0
ENRICH4ALL: A First Luxembourgish BERT Model for a Multilingual Chatbot—0
Enriching Language Models with Visually-grounded Word Vectors and the Lancaster Sensorimotor Norms—0
Ensemble based discriminative models for Visual Dialog Challenge 2018—0
FlexCap: Describe Anything in Images in Controllable Detail—0
FlipDial: A Generative Model for Two-Way Visual Dialogue—0
Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation—0
GoG: Relation-aware Graph-over-Graph Network for Visual Dialog—0
Granular Multimodal Attention Networks for Visual Dialog—0
Grounded Agreement Games: Emphasizing Conversational Grounding in Visual Dialogue Settings—0
How to Fool Systems and Humans in Visually Grounded Interaction: A Case Study on Adversarial Attacks on Visual Dialog—0
ICCV23 Visual-Dialog Emotion Explanation Challenge: SEU_309 Team Technical Report—0
Image-Question-Answer Synergistic Network for Visual Dialog—0
Improving Cross-Modal Understanding in Visual Dialog via Contrastive Learning—0
Knowledge Transfer with Visual Prompt in multi-modal Dialogue Understanding and Generation—0
LAVIS: A Library for Language-Vision Intelligence—0
Learning Goal-Oriented Visual Dialog Agents: Imitating and Surpassing Analytic Experts—0
Learning to Ground Visual Objects for Visual Dialog—0
Making History Matter: History-Advantage Sequence Training for Visual Dialog—0
VD-GR: Boosting Visual Dialog with Cascaded Spatial-Temporal Multi-Modal GRaphs—0
Modality-Balanced Models for Visual Dialogue—0
Modeling Coreference Relations in Visual Dialog—0
Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog—0
Multi-Modal Open-Domain Dialogue—0
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog—0
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All datasetsVisual Dialog v1.0 test-stdVisDial v0.9 valVisDial v1.0 test-stdBlendedSkillTalkConvAI2EmpatheticDialoguesImage-ChatWizard of Wikipedia

Benchmark Results

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