Aishwarya Agrawal (GeorgiaTech)visualqa.org/static/slides/2018_workshop_yash_slides.pdf · sm JU e fs ZZD e-y VQA-r MC-6 i a a o CFM-TC TU 0 nmlab612 b T VQA n A G TC i-e VQA-+ e

AishwaryaAgrawal(Georgia Tech)

Yash Goyal(Georgia Tech)

Outline

OverviewofTaskandDataset

OverviewofChallenge

WinnerAnnouncements

AnalysisofResults

2

Outline


OverviewofChallenge

WinnerAnnouncements

AnalysisofResults

3

Outline


OverviewofChallenge

WinnerAnnouncements

AnalysisofResults

4

Outline


OverviewofChallenge

WinnerAnnouncements

AnalysisofResults

5

Outline


OverviewofChallenge

WinnerAnnouncements

AnalysisofResults

6

VQATask

7

VQATask

Whatisthemustachemadeof?

8

VQATask


AISystem

9

VQATask


bananasAISystem

10

VQAv1.0Dataset

11

VQAv1.0Dataset

12

About objects

VQAv1.0Dataset

13

Fine-grained recognition

VQAv1.0Dataset

14

Counting

VQAv1.0Dataset

15Common

sense

VQAv2.0Dataset

womanDifferent answers

Similar images

VQA v1.0

man

Who is wearing glasses?

New in VQA v2.0

VQAv2.0DatasetStats

• >200Kimages

• >1.1Mquestions

• >11Manswers

18

1.8xVQAv1.0

AccuracyMetric

19

Outline

Overview of Task and Dataset

Overview of Challenge

Winner Announcements

Analysis of Results

20

VQAChallengeonhttps://evalai.cloudcv.org/

21

Datasetsplits

Images Questions Answers

Training 80K 443K 4.4M

Dataset size is approximate22

Datasetsplits



Validation 40K 214K 2.1M


Datasetsplits



Validation 40K 214K 2.1M

Test 80K 447K


TestDataset• 4splitsofapproximatelyequalsize

• Test-dev (development)– DebuggingandValidation.

• Test-standard (publications)– UsedtoscoreentriesforthePublicLeaderboard.

• Test-challenge (competitions)– Usedtorankchallengeparticipants.

• Test-reserve (checkoverfitting)– Usedtoestimateoverfitting.Scoresonthissetareneverreleased.

Slideadaptedfrom:MSCOCODetection/SegmentationChallenge,ICCV2015 25

Outline

Overview of Task and Dataset

Overview of Challenge

Winner Announcements

Analysis of Results

ChallengeStats

• 40teams• >=40institutions*• >=8countries*

*Statisticsbasedonteamsthathavereplied

ChallengeRunner-Ups

JointRunner-UpTeam1

SNU-BI

ChallengeAccuracy: 71.69

Jin-HwaKim(SeoulNationalUniversity)Jaehyun Jun(SeoulNationalUniversity)

Byoung-Tak Zhang(SeoulNationalUniversity&Surromind Robotics)

28

ChallengeRunner-Ups

JointRunner-UpTeam2

HDU-UCAS-USYD


ZhouYu(HangzhouDianzi University,China)JunYu(HangzhouDianzi University,China)

Chenchao Xiang(HangzhouDianzi University,China)

Jianping Fan(HangzhouDianzi University,China)

Dalu Guo (TheUnversity ofSydney, Australia)

Dacheng Tao(TheUniversityofSydney,Australia)

LiangWang(HangzhouDianzi University,China)

QingmingHuang(UniversityofChineseAcademyofSciences)

ChallengeWinner


YuJiang†(FacebookAIResearch)Vivek Natarajan†(FacebookAIResearch)Xinlei Chen†(FacebookAIResearch)

Dhruv Batra (FacebookAIResearch&GeorgiaTech)MarcusRohrbach (FacebookAIResearch)

30

DeviParikh(FacebookAIResearch&GeorgiaTech)

FAIR-A*

†equalcontribution

Outline


OverviewofChallenge

WinnerAnnouncements

AnalysisofResults

ChallengeResults

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ChallengeResults

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ChallengeResults

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ChallengeResults

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+3.4%absolute

StatisticalSignificance

• Bootstrapsamples5000times• @95%confidence

StatisticalSignificance

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Ove

rall A

ccur

acy

Easyvs.DifficultQuestions


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Number of top 10 teams


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82.5% of questions can be answered by at least 1 method!

DifficultQuestions


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DifficultQuestions

EasyQuestions


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2016 2017 2018

DifficultQuestionswithRareAnswers

DifficultQuestionswithRareAnswersWhatisthenameof…Whatisthenumberon…Whatiswrittenonthe…Whatdoesthesign…Whattimeisit?Whatkindof…Whattypeof…Whyisthe…



DifficultQuestionswithFrequentAnswers

EasyQuestions

AnswerTypeAnalyses

• SNU_BIperformsthebestfor“number”questions

Resultson“number”questions

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"num

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accu

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AnswerTypeAnalyses

• SNU_BIperformsthebestfor“number”questions

• Noteamstatisticallysignificantlybetterthanthewinnerteamfor“yes/no”and“other”

Aremodelssensitivetosubtlechangesinimages?

womanDifferent answers

Similar images

man

Who is wearing glasses?

Aremodelssensitivetosubtlechangesinimages?

• Arepredictionsdifferentforcomplementaryimages?• Arepredictionsaccurateforcomplementaryimages?

Arepredictionsdifferent forcomplementaryimages?

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Arepredictionsaccurate forcomplementaryimages?

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Arepredictionsaccurateforcomplementaryimages?

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FAIR

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52.7%2017 winner

+4.8%absolute

Aremodelsdrivenbypriors?

Onlyconsiderthosequestionswhoseanswersarenotpopular(giventhequestiontype)intraining

• 1-Prior:Testanswersarenotthetop-1mostcommonintraining

• 2-Prior:Testanswerarenotthetop-2mostcommonintraining

Agrawal et al., CVPR 2018


5-6%drop

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All Questions Non-1-Prior Questions


15-16%drop

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FAIR

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All Questions Non-2-Prior Questions


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Improvementfrom2017challenge

• 1-Prior:Bestperformanceimprovedby3.8%• 2-Prior:Bestperformanceimprovedby3.3%

Aremodelscompositional?

Onlyconsiderthosequestionswhicharecompositionallynovel:

• QApairisnotseenintraining• Constitutingconceptsseenintraining

Agrawal et al., Arxiv 2018



12-13%drop

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All Questions Compositionally Novel Questions


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56.5%2017 winner

+3.4%absolute


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Averageanswerrecall

• NewaccuracymetricproposedinKafle andKannan,ICCV17– Alsoknownas“Normalizedaccuracy”

• Method:– Computesaccuracyforeachuniqueanswer– Takethemeanoveralluniqueanswers

• Rewardsmodelswhichperformwellforrareanswers

Averageanswerrecall

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Averageanswerrecall

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ProgressinVQA

68

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12/7/15 3/16/16 6/24/16 10/2/16 1/10/17 4/20/17 7/29/17 11/6/17 2/14/18 5/25/18

ICCV15

Accu

racy

on

v2

ProgressinVQA

69

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75

12/7/15 3/16/16 6/24/16 10/2/16 1/10/17 4/20/17 7/29/17 11/6/17 2/14/18 5/25/18

ICCV15

2016Challengewinner

Accu

racy

on

v2

ProgressinVQA

70

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60

65

70

75

12/7/15 3/16/16 6/24/16 10/2/16 1/10/17 4/20/17 7/29/17 11/6/17 2/14/18 5/25/18

ICCV15

2016Challengewinner

Accu

racy

on

v2

+7.0%absolute

ProgressinVQA

71

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12/7/15 3/16/16 6/24/16 10/2/16 1/10/17 4/20/17 7/29/17 11/6/17 2/14/18 5/25/18

ICCV15

2016Challengewinner

2017Challengewinner

Challenge2017deadline

Accu

racy

on

v2

ProgressinVQA

72

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12/7/15 3/16/16 6/24/16 10/2/16 1/10/17 4/20/17 7/29/17 11/6/17 2/14/18 5/25/18

ICCV15

2016Challengewinner

2017Challengewinner


+6.7%absolute

Accu

racy

on

v2

ProgressinVQA

73

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60

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70

75

12/7/15 3/16/16 6/24/16 10/2/16 1/10/17 4/20/17 7/29/17 11/6/17 2/14/18 5/25/18

ICCV15

2016Challengewinner

2017Challengewinner


2018Challengewinner

Accu

racy

on

v2

ProgressinVQA

74

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60

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75

12/7/15 3/16/16 6/24/16 10/2/16 1/10/17 4/20/17 7/29/17 11/6/17 2/14/18 5/25/18

ICCV15

2016Challengewinner

2017Challengewinner

+3.4%absolute2018Challenge

winner

Accu

racy

on

v2

VisualDialogChallenge2018

75

• Deadline:mid-August,2018• Results:September8th,2018 atECCV2018

visualdialog.org/challenge/2018

• ~130k images (COCO)• 10-round dialog / image• ~1.3 million QA pairs• Evaluation

• Automatic metrics• Human annotations

VisDial v1.0

Thanks!

Questions?

Documents

Aishwarya Agrawal (GeorgiaTech)visualqa.org/static/slides/2018_workshop_yash_slides.pdf · sm JU e fs ZZD e-y VQA-r MC-6 i a a o CFM-TC TU 0 nmlab612 b T VQA n A G TC i-e VQA-+ e