Visual Question Answering (VQA)

Visual Question Answering (VQA) is a task in computer vision that involves answering questions about an image. The goal of VQA is to teach machines to understand the content of an image and answer questions about it in natural language.

Image Source: visualqa.org

Papers

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Showing 2151–2167 of 2167 papers

Title	Date	Tasks	Status	Hype
Where To Look: Focus Regions for Visual Question Answering	Nov 23, 2015	Question AnsweringVisual Question Answering	—Unverified	0
Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources	Nov 22, 2015	FormGeneral Knowledge	—Unverified	0
Compositional Memory for Visual Question Answering	Nov 18, 2015	Question AnsweringVisual Question Answering	—Unverified	0
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction	Nov 18, 2015	Image Retrieval with Multi-Modal QueryParameter Prediction	CodeCode Available	0
ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering	Nov 18, 2015	Question AnsweringVisual Question Answering	—Unverified	0
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering	Nov 17, 2015	Image CaptioningQuestion Answering	CodeCode Available	0
Yin and Yang: Balancing and Answering Binary Visual Questions	Nov 16, 2015	Question AnsweringVisual Question Answering	—Unverified	0
Visual7W: Grounded Question Answering in Images	Nov 11, 2015	Multiple-choiceMultiple Choice Question Answering (MCQA)	—Unverified	0
Explicit Knowledge-based Reasoning for Visual Question Answering	Nov 9, 2015	Question AnsweringVisual Question Answering	—Unverified	0
Neural Module Networks	Nov 9, 2015	Visual Question AnsweringVisual Question Answering (VQA)	CodeCode Available	0
Stacked Attention Networks for Image Question Answering	Nov 7, 2015	Visual Question Answering (VQA)	CodeCode Available	1
What value do explicit high level concepts have in vision to language problems?	Jun 3, 2015	Image CaptioningQuestion Answering	CodeCode Available	0
Learning to Answer Questions From Image Using Convolutional Neural Network	Jun 1, 2015	General ClassificationQuestion Answering	—Unverified	0
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering	May 21, 2015	Question AnsweringSentence	CodeCode Available	0
Exploring Models and Data for Image Question Answering	May 8, 2015	Image Segmentationobject-detection	CodeCode Available	0
VQA: Visual Question Answering	May 3, 2015	Image CaptioningMultiple-choice	CodeCode Available	1
Blind Prediction of Natural Video Quality	Jan 9, 2014	PredictionVideo Quality Assessment	CodeCode Available	0

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All datasets GQA Test2019 VQA v2 test-dev VQA v2 test-std OK-VQA MSVD-QA DocVQA test MSRVTT-QA InfographicVQA GQA test-dev VizWiz 2020 VQA A-OKVQA CLEVR

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	human	Accuracy	89.3	—	Unverified
2	DREAM+Unicoder-VL (MSRA)	Accuracy	76.04	—	Unverified
3	TRRNet (Ensemble)	Accuracy	74.03	—	Unverified
4	MIL-nbgao	Accuracy	73.81	—	Unverified
5	Kakao Brain	Accuracy	73.33	—	Unverified
6	Coarse-to-Fine Reasoning, Single Model	Accuracy	72.14	—	Unverified
7	270	Accuracy	70.23	—	Unverified
8	NSM ensemble (updated)	Accuracy	67.55	—	Unverified
9	VinVL-DPT	Accuracy	64.92	—	Unverified
10	VinVL+L	Accuracy	64.85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PaLI	Accuracy	84.3	—	Unverified
2	BEiT-3	Accuracy	84.19	—	Unverified
3	VLMo	Accuracy	82.78	—	Unverified
4	ONE-PEACE	Accuracy	82.6	—	Unverified
5	mPLUG (Huge)	Accuracy	82.43	—	Unverified
6	CuMo-7B	Accuracy	82.2	—	Unverified
7	X2-VLM (large)	Accuracy	81.9	—	Unverified
8	MMU	Accuracy	81.26	—	Unverified
9	InternVL-C	Accuracy	81.2	—	Unverified
10	Lyrics	Accuracy	81.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BEiT-3	overall	84.03	—	Unverified
2	mPLUG-Huge	overall	83.62	—	Unverified
3	ONE-PEACE	overall	82.52	—	Unverified
4	X2-VLM (large)	overall	81.8	—	Unverified
5	VLMo	overall	81.3	—	Unverified
6	SimVLM	overall	80.34	—	Unverified
7	X2-VLM (base)	overall	80.2	—	Unverified
8	VAST	overall	80.19	—	Unverified
9	VALOR	overall	78.62	—	Unverified
10	Prompt Tuning	overall	78.53	—	Unverified