Visual Dialog on Visual Dialog v1.0 test-std

Metric: R@5 (higher is better)

LeaderboardDataset

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Results

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#	Model↕	R@5▼	Extra Data	Paper	Date↕	Code
1	Ensemble FGA + BERT	88.42	No	-	-	-
2	MRR ensemble (Naive)	87.55	No	-	-	-
3	5xFGA (F-RCNNx101)	86.73	No	Factor Graph Attention	2019-04-11	Code
4	single model	85.05	No	-	-	-
5	sh101	85.02	No	-	-	-
6	CAF	84.95	No	-	-	-
7	w/ VQA + CC, single model	84.67	No	-	-	-
8	test1	84.67	No	-	-	-
9	Transformer+2cons	84.12	No	-	-	-
10	SCL_48	84.1	No	-	-	-
11	Two-Step(refactor)	83.85	No	-	-	-
12	single-model	83.15	No	-	-	-
13	Bert2constraints	82.97	No	-	-	-
14	clean_wac_4freeze	82.23	No	-	-	-
15	2 Step: Factor Graph Attention + VD-Bert	81.55	No	Ensemble of MRR and NDCG models for Visual Dialog	2021-04-15	Code
16	single-model	81.55	No	-	-	-
17	zuizhong	81.25	No	-	-	-
18	MVAN	81.12	No	Multi-View Attention Network for Visual Dialog	2020-04-29	Code
19	jiuyigedian	81	No	-	-	-
20	ERIC666	81	No	-	-	-
21	1	80.92	No	-	-	-
22	gr	80.92	No	-	-	-
23	disc	80.83	No	-	-	-
24	zxcdd	80.8	No	-	-	-
25	211	80.77	No	-	-	-
26	HACAN	80.63	No	Making History Matter: History-Advantage Sequenc...	2019-02-25	-
27	CAG	80.63	No	Iterative Context-Aware Graph Inference for Visu...	2020-04-05	Code
28	lijunlin_9	80.45	No	-	-	-
29	eightepoch	80.45	No	-	-	-
30	Synergistic	80.43	No	Image-Question-Answer Synergistic Network for Vi...	2019-02-26	-
31	RVA	80.4	No	Recursive Visual Attention in Visual Dialog	2018-12-06	Code
32	CARE(Single Model)	80.35	No	-	-	-
33	DualVD	80.23	No	DualVD: An Adaptive Dual Encoding Model for Deep...	2019-11-17	Code
34	kbgn_disc_5	80.1	No	-	-	-
35	DAN	79.75	No	Dual Attention Networks for Visual Reference Res...	2019-02-25	Code
36	Bert(two-stream)	79.53	No	-	-	-
37	lijunlin_7	79.47	No	-	-	-
38	DLC-4	78.22	No	-	-	-
39	lkh(single-model)	78.1	No	-	-	-
40	CorefNMN (ResNet-152)	78.1	No	Visual Coreference Resolution in Visual Dialog u...	2018-09-06	Code
41	wqedasd(single model)	78	No	-	-	-
42	GNN	77.98	No	Reasoning Visual Dialogs with Structural and Par...	2019-04-11	Code
43	adasd	77.53	No	-	-	-
44	NMN	76.88	No	Learning to Reason: End-to-End Module Networks f...	2017-04-18	Code
45	jkl	76.78	No	-	-	-
46	sdfsdaf	76.15	No	-	-	-
47	paratraining1epoch	73.45	No	-	-	-
48	MN-QIH-D	72.45	No	Visual Dialog	2016-11-26	Code
49	MN-QIH-D	72.3	No	Visual Dialog	2016-11-26	Code
50	bert-double-stream-finetuning	70.75	No	-	-	-
51	HRE-QIH-D	70.45	No	Visual Dialog	2016-11-26	Code
52	ensemble, finetune	70.23	No	-	-	-
53	gat_disc_relto_4	70.17	No	-	-	-
54	shanshandu	70.15	No	-	-	-
55	1	69.95	No	-	-	-
56	1	69.65	No	-	-	-
57	1	68.92	No	-	-	-
58	P1P2+Distill+Ensemble	68.9	No	-	-	-
59	1	68.67	No	-	-	-
60	7	68.45	No	-	-	-
61	VD-PCR	68.4	No	-	-	-
62	Ensemble + Fine-tuning	68.12	No	-	-	-
63	Disc, Dense, 4 Ensemble.	67.65	No	-	-	-
64	Ensemble + Finetune	66.6	No	Efficient Attention Mechanism for Visual Dialog ...	2019-11-26	Code
65	gat_disc_3	65.85	No	-	-	-
66	Single	65.7	No	-	-	-
67	10	64.15	No	-	-	-
68	CE-finetuned, single model	64.12	No	-	-	-
69	20	63.28	No	-	-	-
70	5_4	62.98	No	-	-	-
71	5-2	62.88	No	-	-	-
72	Ensemble	62.82	No	-	-	-
73	2	62.42	No	-	-	-
74	2	60.38	No	-	-	-
75	simple_test	60.12	No	-	-	-
76	mvan_len40_test	56.47	No	-	-	-
77	trainval_ch_9	54.97	No	-	-	-
78	5TS	53.62	No	-	-	-
79	czczx	43.58	No	-	-	-
80	qqhe	7.22	No	-	-	-

#1Ensemble FGA + BERT
88.42
R@5
No paper
#2MRR ensemble (Naive)
87.55
R@5
No paper
#35xFGA (F-RCNNx101)SOTA
86.73
R@5· 2019-04-11
Factor Graph Attention Code
#4single model
85.05
R@5
No paper
#5sh101
85.02
R@5
No paper
#6CAF
84.95
R@5
No paper
#7w/ VQA + CC, single model
84.67
R@5
No paper
#8test1
84.67
R@5
No paper
#9Transformer+2cons
84.12
R@5
No paper
#10SCL_48
84.1
R@5
No paper
#11Two-Step(refactor)
83.85
R@5
No paper
#12single-model
83.15
R@5
No paper
#13Bert2constraints
82.97
R@5
No paper
#14clean_wac_4freeze
82.23
R@5
No paper
#152 Step: Factor Graph Attention + VD-Bert
81.55
R@5· 2021-04-15
Ensemble of MRR and NDCG models for Visual Dialog Code
#16single-model
81.55
R@5
No paper
#17zuizhong
81.25
R@5
No paper
#18MVAN
81.12
R@5· 2020-04-29
Multi-View Attention Network for Visual Dialog Code
#19jiuyigedian
81
R@5
No paper
#20ERIC666
81
R@5
No paper
#211
80.92
R@5
No paper
#22gr
80.92
R@5
No paper
#23disc
80.83
R@5
No paper
#24zxcdd
80.8
R@5
No paper
#25211
80.77
R@5
No paper
#26HACANSOTA
80.63
R@5· 2019-02-25
Making History Matter: History-Advantage Sequence Training for Visual Dialog
#27CAG
80.63
R@5· 2020-04-05
Iterative Context-Aware Graph Inference for Visual Dialog Code
#28lijunlin_9
80.45
R@5
No paper
#29eightepoch
80.45
R@5
No paper
#30Synergistic
80.43
R@5· 2019-02-26
Image-Question-Answer Synergistic Network for Visual Dialog
#31RVASOTA
80.4
R@5· 2018-12-06
Recursive Visual Attention in Visual Dialog Code
#32CARE(Single Model)
80.35
R@5
No paper
#33DualVD
80.23
R@5· 2019-11-17
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue Code
#34kbgn_disc_5
80.1
R@5
No paper
#35DAN
79.75
R@5· 2019-02-25
Dual Attention Networks for Visual Reference Resolution in Visual Dialog Code
#36Bert(two-stream)
79.53
R@5
No paper
#37lijunlin_7
79.47
R@5
No paper
#38DLC-4
78.22
R@5
No paper
#39lkh(single-model)
78.1
R@5
No paper
#40CorefNMN (ResNet-152)SOTA
78.1
R@5· 2018-09-06
Visual Coreference Resolution in Visual Dialog using Neural Module Networks Code
#41wqedasd(single model)
78
R@5
No paper
#42GNN
77.98
R@5· 2019-04-11
Reasoning Visual Dialogs with Structural and Partial Observations Code
#43adasd
77.53
R@5
No paper
#44NMNSOTA
76.88
R@5· 2017-04-18
Learning to Reason: End-to-End Module Networks for Visual Question Answering Code
#45jkl
76.78
R@5
No paper
#46sdfsdaf
76.15
R@5
No paper
#47paratraining1epoch
73.45
R@5
No paper
#48MN-QIH-DSOTA
72.45
R@5· 2016-11-26
Visual Dialog Code
#49MN-QIH-D
72.3
R@5· 2016-11-26
Visual Dialog Code
#50bert-double-stream-finetuning
70.75
R@5
No paper
#51HRE-QIH-D
70.45
R@5· 2016-11-26
Visual Dialog Code
#52ensemble, finetune
70.23
R@5
No paper
#53gat_disc_relto_4
70.17
R@5
No paper
#54shanshandu
70.15
R@5
No paper
#551
69.95
R@5
No paper
#561
69.65
R@5
No paper
#571
68.92
R@5
No paper
#58P1P2+Distill+Ensemble
68.9
R@5
No paper
#591
68.67
R@5
No paper
#607
68.45
R@5
No paper
#61VD-PCR
68.4
R@5
No paper
#62Ensemble + Fine-tuning
68.12
R@5
No paper
#63Disc, Dense, 4 Ensemble.
67.65
R@5
No paper
#64Ensemble + Finetune
66.6
R@5· 2019-11-26
Efficient Attention Mechanism for Visual Dialog that can Handle All the Interactions between Multiple Inputs Code
#65gat_disc_3
65.85
R@5
No paper
#66Single
65.7
R@5
No paper
#6710
64.15
R@5
No paper
#68CE-finetuned, single model
64.12
R@5
No paper
#6920
63.28
R@5
No paper
#705_4
62.98
R@5
No paper
#715-2
62.88
R@5
No paper
#72Ensemble
62.82
R@5
No paper
#732
62.42
R@5
No paper
#742
60.38
R@5
No paper
#75simple_test
60.12
R@5
No paper
#76mvan_len40_test
56.47
R@5
No paper
#77trainval_ch_9
54.97
R@5
No paper
#785TS
53.62
R@5
No paper
#79czczx
43.58
R@5
No paper
#80qqhe
7.22
R@5
No paper