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Visual Question Answering (VQA)
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GQA Test2019
Visual Question Answering (VQA) on GQA Test2019
Metric: Distribution (higher is better)
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Distribution (best first)
Distribution (worst first)
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Date (oldest first)
Model name (A→Z)
#
Model
↕
Distribution
▼
Extra Data
Paper
Date
↕
Code
1
GlobalPrior
93.08
No
-
-
-
2
Mycsulb
40.84
No
-
-
-
3
Academia Sinica
40.44
No
-
-
-
4
Fj
28.4
No
-
-
-
5
CNN
19.99
No
-
-
-
6
LAS
19.05
No
-
-
-
7
LSTM
17.93
No
-
-
-
8
RES
17.79
No
-
-
-
9
RAM_BUGGY
14.28
No
-
-
-
10
LocalPrior
13.98
No
-
-
-
11
mfb+bert
13.72
No
-
-
-
12
MReaL
13.01
No
-
-
-
13
UJCNN
12.54
No
-
-
-
14
muc_ai
11.49
No
-
-
-
15
bear
10.99
No
-
-
-
16
BAN
10.52
No
-
-
-
17
RSN (Single Model)_v6
10.18
No
-
-
-
18
Musan
10.1
No
-
-
-
19
LW
9.69
No
-
-
-
20
wcf-fight
9.5
No
-
-
-
21
5TMT-qe+o
8.66
No
-
-
-
22
Ensemble10
8.56
No
-
-
-
23
prompt IMT-16
8.48
No
-
-
-
24
113
8.38
No
-
-
-
25
Ediburgh-Mila-UCLA
8.35
No
-
-
-
26
Partial-MSP
7.86
No
-
-
-
27
CHAIR
7.63
No
-
-
-
28
happyTeam
7.6
No
-
-
-
29
LSTM+CNN
7.46
No
-
-
-
30
LININ
7.28
No
-
-
-
31
GM6_9_2_train
7.13
No
-
-
-
32
gbert1
6.93
No
-
-
-
33
sparsemax15
6.91
No
-
-
-
34
GRN
6.77
No
Bilinear Graph Networks for Visual Question Answ...
2019-07-23
-
35
Mithrandir
6.77
No
-
-
-
36
ours-4-gqa_el_tag_v4__pretrain_rel_tag_dist_tc_v7_checkpoint-47-157510-best-4.json
6.58
No
-
-
-
37
Space Cat
6.45
No
-
-
-
38
bert_v1
6.43
No
-
-
-
39
LXR955, Ensemble
6.42
No
LXMERT: Learning Cross-Modality Encoder Represen...
2019-08-20
Code
40
fbe20v3.json
6.41
No
-
-
-
41
Sorbonne
6.4
No
-
-
-
42
mcmi
6.39
No
-
-
-
43
Feb_ft2_mergeadd_weightalllstm_picklocw_box5_prep
6.32
No
-
-
-
44
test
6.29
No
-
-
-
45
SSRP
6.28
No
-
-
-
46
DAM
6.25
No
-
-
-
47
Inspur
6.21
No
-
-
-
48
happy
6.16
No
-
-
-
49
QGCRGN
6.14
No
-
-
-
50
xpj
6.09
No
-
-
-
51
Testify
6.07
No
-
-
-
52
gaochongyang9
6.06
No
-
-
-
53
rishabh_test
6.06
No
-
-
-
54
RSN (Single Model)
6.06
No
-
-
-
55
RD
6.05
No
-
-
-
56
vv69
6.03
No
-
-
-
57
ST_VQA
6.02
No
-
-
-
58
DL16
6.01
No
-
-
-
59
HDU_ZWF
6.01
No
-
-
-
60
PVR
6
No
-
-
-
61
BottomUp
5.98
No
Bottom-Up and Top-Down Attention for Image Capti...
2017-07-25
Code
62
rsa-14word
5.94
No
-
-
-
63
GIN
5.87
No
-
-
-
64
ZhaoLab
5.84
No
-
-
-
65
Future_Test_team
5.83
No
-
-
-
66
tmp
5.81
No
-
-
-
67
UCAS-SARI
5.81
No
-
-
-
68
total14
5.81
No
-
-
-
69
UNITER + MAC + Graph Networks
5.8
No
-
-
-
70
MMT-VQA
5.78
No
-
-
-
71
45
5.74
No
-
-
-
72
graphRepresentation, Single
5.73
No
-
-
-
73
UCM
5.7
No
-
-
-
74
LXR955, Single Model
5.69
No
LXMERT: Learning Cross-Modality Encoder Represen...
2019-08-20
Code
75
MJ
5.69
No
-
-
-
76
MSM@MSRA
5.68
No
-
-
-
77
test gqa
5.65
No
-
-
-
78
stu09e
5.65
No
-
-
-
79
VqaStar-UCAS-SARI
5.65
No
-
-
-
80
mac_qin
5.64
No
-
-
-
81
full_nsp_mlm_ft_joint_results_submit_predict.json
5.63
No
-
-
-
82
LXMERT-S
5.6
No
-
-
-
83
result_run_2647872_epoch11
5.6
No
-
-
-
84
lxmert-adv-txt
5.55
No
-
-
-
85
Meta Module, Single
5.54
No
-
-
-
86
glimple_all
5.54
No
-
-
-
87
lxmert-adv-txt
5.52
No
-
-
-
88
MLVQA (single)
5.48
No
-
-
-
89
nogg
5.48
No
-
-
-
90
IWantADonut
5.42
No
-
-
-
91
LOGNet+VLR
5.42
No
-
-
-
92
vips
5.41
No
-
-
-
93
full_nsp_ft_results_submit_predict.json
5.39
No
-
-
-
94
IIE_Morningstar
5.38
No
-
-
-
95
MDETR
5.36
No
-
-
-
96
fisher
5.36
No
-
-
-
97
REX
5.36
No
-
-
-
98
MAC
5.34
No
-
-
-
99
1-gqa
5.33
No
-
-
-
100
Deepblue_Semantics
5.32
No
-
-
-
101
test
5.32
No
-
-
-
102
IQA (single)
5.31
No
-
-
-
103
TESTOVQA007
5.29
No
-
-
-
104
DeeTee
5.29
No
-
-
-
105
KU
5.29
No
-
-
-
106
Single
5.25
No
-
-
-
107
mlmbert
5.24
No
-
-
-
108
abc_test
5.22
No
-
-
-
109
Improved SNMN
5.14
No
-
-
-
110
VinVL-DPT
5.11
No
-
-
-
111
BgTest
5.11
No
-
-
-
112
Eden_test
5.1
No
-
-
-
113
ckpt 19 exp 90
4.86
No
-
-
-
114
Single Model
4.72
No
VinVL: Revisiting Visual Representations in Visi...
2021-01-02
Code
115
LCGN
4.7
No
-
-
-
116
Wayne
4.69
No
-
-
-
117
F205
4.68
No
-
-
-
118
VinVL+L
4.59
No
-
-
Code
119
NSM single (updated)
3.71
No
-
-
-
120
DREAM+Unicoder-VL (MSRA)
3.68
No
-
-
-
121
NSM ensemble (updated)
2.78
No
-
-
-
122
Kakao Brain
2.46
No
-
-
-
123
Coarse-to-Fine Reasoning, Single Model
2.39
No
-
-
-
124
MIL-nbgao
1.7
No
-
-
-
125
270
1.49
No
-
-
-
126
TRRNet (Ensemble)
1.29
No
-
-
-
127
human
0
No
-
-
-
#1
GlobalPrior
93.08
Distribution
No paper
#2
Mycsulb
40.84
Distribution
No paper
#3
Academia Sinica
40.44
Distribution
No paper
#4
Fj
28.4
Distribution
No paper
#5
CNN
19.99
Distribution
No paper
#6
LAS
19.05
Distribution
No paper
#7
LSTM
17.93
Distribution
No paper
#8
RES
17.79
Distribution
No paper
#9
RAM_BUGGY
14.28
Distribution
No paper
#10
LocalPrior
13.98
Distribution
No paper
#11
mfb+bert
13.72
Distribution
No paper
#12
MReaL
13.01
Distribution
No paper
#13
UJCNN
12.54
Distribution
No paper
#14
muc_ai
11.49
Distribution
No paper
#15
bear
10.99
Distribution
No paper
#16
BAN
10.52
Distribution
No paper
#17
RSN (Single Model)_v6
10.18
Distribution
No paper
#18
Musan
10.1
Distribution
No paper
#19
LW
9.69
Distribution
No paper
#20
wcf-fight
9.5
Distribution
No paper
#21
5TMT-qe+o
8.66
Distribution
No paper
#22
Ensemble10
8.56
Distribution
No paper
#23
prompt IMT-16
8.48
Distribution
No paper
#24
113
8.38
Distribution
No paper
#25
Ediburgh-Mila-UCLA
8.35
Distribution
No paper
#26
Partial-MSP
7.86
Distribution
No paper
#27
CHAIR
7.63
Distribution
No paper
#28
happyTeam
7.6
Distribution
No paper
#29
LSTM+CNN
7.46
Distribution
No paper
#30
LININ
7.28
Distribution
No paper
#31
GM6_9_2_train
7.13
Distribution
No paper
#32
gbert1
6.93
Distribution
No paper
#33
sparsemax15
6.91
Distribution
No paper
#34
GRN
SOTA
6.77
Distribution
· 2019-07-23
Bilinear Graph Networks for Visual Question Answering
#35
Mithrandir
6.77
Distribution
No paper
#36
ours-4-gqa_el_tag_v4__pretrain_rel_tag_dist_tc_v7_checkpoint-47-157510-best-4.json
6.58
Distribution
No paper
#37
Space Cat
6.45
Distribution
No paper
#38
bert_v1
6.43
Distribution
No paper
#39
LXR955, Ensemble
6.42
Distribution
· 2019-08-20
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Code
#40
fbe20v3.json
6.41
Distribution
No paper
#41
Sorbonne
6.4
Distribution
No paper
#42
mcmi
6.39
Distribution
No paper
#43
Feb_ft2_mergeadd_weightalllstm_picklocw_box5_prep
6.32
Distribution
No paper
#44
test
6.29
Distribution
No paper
#45
SSRP
6.28
Distribution
No paper
#46
DAM
6.25
Distribution
No paper
#47
Inspur
6.21
Distribution
No paper
#48
happy
6.16
Distribution
No paper
#49
QGCRGN
6.14
Distribution
No paper
#50
xpj
6.09
Distribution
No paper
#51
Testify
6.07
Distribution
No paper
#52
gaochongyang9
6.06
Distribution
No paper
#53
rishabh_test
6.06
Distribution
No paper
#54
RSN (Single Model)
6.06
Distribution
No paper
#55
RD
6.05
Distribution
No paper
#56
vv69
6.03
Distribution
No paper
#57
ST_VQA
6.02
Distribution
No paper
#58
DL16
6.01
Distribution
No paper
#59
HDU_ZWF
6.01
Distribution
No paper
#60
PVR
6
Distribution
No paper
#61
BottomUp
SOTA
5.98
Distribution
· 2017-07-25
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Code
#62
rsa-14word
5.94
Distribution
No paper
#63
GIN
5.87
Distribution
No paper
#64
ZhaoLab
5.84
Distribution
No paper
#65
Future_Test_team
5.83
Distribution
No paper
#66
tmp
5.81
Distribution
No paper
#67
UCAS-SARI
5.81
Distribution
No paper
#68
total14
5.81
Distribution
No paper
#69
UNITER + MAC + Graph Networks
5.8
Distribution
No paper
#70
MMT-VQA
5.78
Distribution
No paper
#71
45
5.74
Distribution
No paper
#72
graphRepresentation, Single
5.73
Distribution
No paper
#73
UCM
5.7
Distribution
No paper
#74
LXR955, Single Model
5.69
Distribution
· 2019-08-20
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Code
#75
MJ
5.69
Distribution
No paper
#76
MSM@MSRA
5.68
Distribution
No paper
#77
test gqa
5.65
Distribution
No paper
#78
stu09e
5.65
Distribution
No paper
#79
VqaStar-UCAS-SARI
5.65
Distribution
No paper
#80
mac_qin
5.64
Distribution
No paper
#81
full_nsp_mlm_ft_joint_results_submit_predict.json
5.63
Distribution
No paper
#82
LXMERT-S
5.6
Distribution
No paper
#83
result_run_2647872_epoch11
5.6
Distribution
No paper
#84
lxmert-adv-txt
5.55
Distribution
No paper
#85
Meta Module, Single
5.54
Distribution
No paper
#86
glimple_all
5.54
Distribution
No paper
#87
lxmert-adv-txt
5.52
Distribution
No paper
#88
MLVQA (single)
5.48
Distribution
No paper
#89
nogg
5.48
Distribution
No paper
#90
IWantADonut
5.42
Distribution
No paper
#91
LOGNet+VLR
5.42
Distribution
No paper
#92
vips
5.41
Distribution
No paper
#93
full_nsp_ft_results_submit_predict.json
5.39
Distribution
No paper
#94
IIE_Morningstar
5.38
Distribution
No paper
#95
MDETR
5.36
Distribution
No paper
#96
fisher
5.36
Distribution
No paper
#97
REX
5.36
Distribution
No paper
#98
MAC
5.34
Distribution
No paper
#99
1-gqa
5.33
Distribution
No paper
#100
Deepblue_Semantics
5.32
Distribution
No paper
#101
test
5.32
Distribution
No paper
#102
IQA (single)
5.31
Distribution
No paper
#103
TESTOVQA007
5.29
Distribution
No paper
#104
DeeTee
5.29
Distribution
No paper
#105
KU
5.29
Distribution
No paper
#106
Single
5.25
Distribution
No paper
#107
mlmbert
5.24
Distribution
No paper
#108
abc_test
5.22
Distribution
No paper
#109
Improved SNMN
5.14
Distribution
No paper
#110
VinVL-DPT
5.11
Distribution
No paper
#111
BgTest
5.11
Distribution
No paper
#112
Eden_test
5.1
Distribution
No paper
#113
ckpt 19 exp 90
4.86
Distribution
No paper
#114
Single Model
4.72
Distribution
· 2021-01-02
VinVL: Revisiting Visual Representations in Vision-Language Models
Code
#115
LCGN
4.7
Distribution
No paper
#116
Wayne
4.69
Distribution
No paper
#117
F205
4.68
Distribution
No paper
#118
VinVL+L
4.59
Distribution
No paper
Code
#119
NSM single (updated)
3.71
Distribution
No paper
#120
DREAM+Unicoder-VL (MSRA)
3.68
Distribution
No paper
#121
NSM ensemble (updated)
2.78
Distribution
No paper
#122
Kakao Brain
2.46
Distribution
No paper
#123
Coarse-to-Fine Reasoning, Single Model
2.39
Distribution
No paper
#124
MIL-nbgao
1.7
Distribution
No paper
#125
270
1.49
Distribution
No paper
#126
TRRNet (Ensemble)
1.29
Distribution
No paper
#127
human
0
Distribution
No paper