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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–60 of 118 papers

Title	Date	Tasks	Status	Score
TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning Baselines	Oct 31, 2019	AttributeQuestion Answering	CodeCode Available	5
TAB-VCR: Tags and Attributes based VCR Baselines	Dec 1, 2019	AttributeQuestion Answering	CodeCode Available	5
Ask No More: Deciding when to guess in referential visual dialogue	May 17, 2018	Decision MakingVisual Dialog	CodeCode Available	5
DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog	Dec 18, 2019	AI AgentDecoder	CodeCode Available	5
Dual Attention Networks for Visual Reference Resolution in Visual Dialog	Feb 25, 2019	AI AgentQuestion Answering	CodeCode Available	5
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue	Nov 17, 2019	feature selectionQuestion Answering	CodeCode Available	5
Visual Reference Resolution using Attention Memory for Visual Dialog	Sep 23, 2017	Parameter PredictionQuestion Answering	—Unverified	0
Visual-Textual Alignment for Graph Inference in Visual Dialog	Dec 1, 2020	Visual Dialog	—Unverified	0
VU-BERT: A Unified framework for Visual Dialog	Feb 22, 2022	Language ModelingLanguage Modelling	—Unverified	0
What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog.	Jul 1, 2019	Reinforcement LearningVisual Dialog	—Unverified	0

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All datasets Visual Dialog v1.0 test-std VisDial v0.9 val VisDial v1.0 test-std BlendedSkillTalk ConvAI2 EmpatheticDialogues Image-Chat Wizard of Wikipedia

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Single	NDCG (x 100)	78.7	—	Unverified
2	P1P2+Distill+Ensemble	NDCG (x 100)	77.92	—	Unverified
3	Ensemble + Fine-tuning	NDCG (x 100)	76.43	—	Unverified
4	ensemble, finetune	NDCG (x 100)	76.17	—	Unverified
5	VD-PCR	NDCG (x 100)	76.14	—	Unverified
6	Ensemble	NDCG (x 100)	75.35	—	Unverified
7	Ensemble + Finetune	NDCG (x 100)	74.88	—	Unverified
8	bert-double-stream-finetuning	NDCG (x 100)	74.62	—	Unverified
9	CE-finetuned, single model	NDCG (x 100)	74.47	—	Unverified
10	2	NDCG (x 100)	73.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	9xFGA (VGG)	MRR	68.92	—	Unverified
2	DAN	MRR	66.38	—	Unverified
3	CorefNMN (ResNet-152)	MRR	64.1	—	Unverified
4	CoAtt	MRR	63.98	—	Unverified
5	CorefNMN	MRR	63.6	—	Unverified
6	DualVD	MRR	62.94	—	Unverified
7	SF-QIH-se-2	MRR	62.42	—	Unverified
8	HCIAE-NP-ATT	MRR	62.22	—	Unverified
9	HieCoAtt-QI	MRR	57.88	—	Unverified
10	AMEM	R@1	48.53	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	5xFGA + LS	NDCG	64.04	—	Unverified
2	5xFGA + LS*+	MRR	0.71	—	Unverified
3	Two-Step	MRR	0.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Multi-Modal BlenderBot	BLEU-4	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Multi-Modal BlenderBot	BLEU-4	1.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Multi-Modal BlenderBot	BLEU-4	1.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Multi-Modal BlenderBot	BLEU-4	40	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Multi-Modal BlenderBot	BLEU-4	2.2	—	Unverified