Dialogue on Visual Dialog v1.0 test-std

Metric: R@10 (higher is better)

LeaderboardDataset

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Results

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#	Model↕	R@10▼	Extra Data	Paper	Date↕	Code
1	Ensemble FGA + BERT	95.08	No	-	-	-
2	MRR ensemble (Naive)	94.45	No	-	-	-
3	5xFGA (F-RCNNx101)	94.05	No	Factor Graph Attention	2019-04-11	Code
4	single model	93.7	No	-	-	-
5	w/ VQA + CC, single model	93.25	No	-	-	-
6	test1	93.25	No	-	-	-
7	sh101	93.25	No	-	-	-
8	single-model	93.15	No	-	-	-
9	CAF	93.1	No	-	-	-
10	Transformer+2cons	92.5	No	-	-	-
11	SCL_48	92.27	No	-	-	-
12	single-model	92	No	-	-	-
13	Bert2constraints	91.97	No	-	-	-
14	clean_wac_4freeze	91.67	No	-	-	-
15	Two-Step(refactor)	90.83	No	-	-	-
16	MVAN	90.65	No	Multi-View Attention Network for Visual Dialog	2020-04-29	Code
17	1	90.6	No	-	-	-
18	jiuyigedian	90.38	No	-	-	-
19	disc	90.18	No	-	-	-
20	CAG	90.15	No	Iterative Context-Aware Graph Inference for Visu...	2020-04-05	Code
21	gr	90.05	No	-	-	-
22	zuizhong	90.03	No	-	-	-
23	CARE(Single Model)	89.95	No	-	-	-
24	211	89.83	No	-	-	-
25	RVA	89.83	No	Recursive Visual Attention in Visual Dialog	2018-12-06	Code
26	eightepoch	89.72	No	-	-	-
27	DualVD	89.7	No	DualVD: An Adaptive Dual Encoding Model for Deep...	2019-11-17	Code
28	zxcdd	89.65	No	-	-	-
29	2 Step: Factor Graph Attention + VD-Bert	89.6	No	Ensemble of MRR and NDCG models for Visual Dialog	2021-04-15	Code
30	Bert(two-stream)	89.6	No	-	-	-
31	ERIC666	89.6	No	-	-	-
32	kbgn_disc_5	89.48	No	-	-	-
33	HACAN	89.45	No	Making History Matter: History-Advantage Sequenc...	2019-02-25	-
34	DAN	89.35	No	Dual Attention Networks for Visual Reference Res...	2019-02-25	Code
35	lijunlin_9	89.25	No	-	-	-
36	lijunlin_7	89.15	No	-	-	-
37	CorefNMN (ResNet-152)	88.8	No	Visual Coreference Resolution in Visual Dialog u...	2018-09-06	Code
38	wqedasd(single model)	88.6	No	-	-	-
39	lkh(single-model)	88.35	No	-	-	-
40	adasd	87.9	No	-	-	-
41	GNN	87.83	No	Reasoning Visual Dialogs with Structural and Par...	2019-04-11	Code
42	DLC-4	87.42	No	-	-	-
43	NMN	86.88	No	Learning to Reason: End-to-End Module Networks f...	2017-04-18	Code
44	jkl	86.48	No	-	-	-
45	sdfsdaf	86.42	No	-	-	-
46	ensemble, finetune	84.52	No	-	-	-
47	P1P2+Distill+Ensemble	83.78	No	-	-	-
48	bert-double-stream-finetuning	83.33	No	-	-	-
49	MN-QIH-D	83.3	No	Visual Dialog	2016-11-26	Code
50	paratraining1epoch	83.1	No	-	-	-
51	MN-QIH-D	82.83	No	Visual Dialog	2016-11-26	Code
52	VD-PCR	82.75	No	-	-	-
53	Single	82.45	No	-	-	-
54	1	82.4	No	-	-	-
55	shanshandu	82.38	No	-	-	-
56	Ensemble + Fine-tuning	82.17	No	-	-	-
57	1	81.9	No	-	-	-
58	1	81.73	No	-	-	-
59	1	81.7	No	-	-	-
60	7	81.62	No	-	-	-
61	HRE-QIH-D	81.5	No	Visual Dialog	2016-11-26	Code
62	Ensemble + Finetune	80.65	No	Efficient Attention Mechanism for Visual Dialog ...	2019-11-26	Code
63	CE-finetuned, single model	80	No	-	-	-
64	Disc, Dense, 4 Ensemble.	79.77	No	-	-	-
65	gat_disc_relto_4	79.72	No	-	-	-
66	10	78.25	No	-	-	-
67	2	78.12	No	-	-	-
68	Ensemble	77.98	No	-	-	-
69	5-2	77.75	No	-	-	-
70	5_4	77.53	No	-	-	-
71	20	77.33	No	-	-	-
72	2	76.55	No	-	-	-
73	simple_test	74.67	No	-	-	-
74	gat_disc_3	74.15	No	-	-	-
75	5TS	70.12	No	-	-	-
76	mvan_len40_test	65.8	No	-	-	-
77	trainval_ch_9	61.7	No	-	-	-
78	czczx	53.05	No	-	-	-
79	qqhe	12.22	No	-	-	-

#1Ensemble FGA + BERT
95.08
R@10
No paper
#2MRR ensemble (Naive)
94.45
R@10
No paper
#35xFGA (F-RCNNx101)SOTA
94.05
R@10· 2019-04-11
Factor Graph Attention Code
#4single model
93.7
R@10
No paper
#5w/ VQA + CC, single model
93.25
R@10
No paper
#6test1
93.25
R@10
No paper
#7sh101
93.25
R@10
No paper
#8single-model
93.15
R@10
No paper
#9CAF
93.1
R@10
No paper
#10Transformer+2cons
92.5
R@10
No paper
#11SCL_48
92.27
R@10
No paper
#12single-model
92
R@10
No paper
#13Bert2constraints
91.97
R@10
No paper
#14clean_wac_4freeze
91.67
R@10
No paper
#15Two-Step(refactor)
90.83
R@10
No paper
#16MVAN
90.65
R@10· 2020-04-29
Multi-View Attention Network for Visual Dialog Code
#171
90.6
R@10
No paper
#18jiuyigedian
90.38
R@10
No paper
#19disc
90.18
R@10
No paper
#20CAG
90.15
R@10· 2020-04-05
Iterative Context-Aware Graph Inference for Visual Dialog Code
#21gr
90.05
R@10
No paper
#22zuizhong
90.03
R@10
No paper
#23CARE(Single Model)
89.95
R@10
No paper
#24211
89.83
R@10
No paper
#25RVASOTA
89.83
R@10· 2018-12-06
Recursive Visual Attention in Visual Dialog Code
#26eightepoch
89.72
R@10
No paper
#27DualVD
89.7
R@10· 2019-11-17
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue Code
#28zxcdd
89.65
R@10
No paper
#292 Step: Factor Graph Attention + VD-Bert
89.6
R@10· 2021-04-15
Ensemble of MRR and NDCG models for Visual Dialog Code
#30Bert(two-stream)
89.6
R@10
No paper
#31ERIC666
89.6
R@10
No paper
#32kbgn_disc_5
89.48
R@10
No paper
#33HACAN
89.45
R@10· 2019-02-25
Making History Matter: History-Advantage Sequence Training for Visual Dialog
#34DAN
89.35
R@10· 2019-02-25
Dual Attention Networks for Visual Reference Resolution in Visual Dialog Code
#35lijunlin_9
89.25
R@10
No paper
#36lijunlin_7
89.15
R@10
No paper
#37CorefNMN (ResNet-152)SOTA
88.8
R@10· 2018-09-06
Visual Coreference Resolution in Visual Dialog using Neural Module Networks Code
#38wqedasd(single model)
88.6
R@10
No paper
#39lkh(single-model)
88.35
R@10
No paper
#40adasd
87.9
R@10
No paper
#41GNN
87.83
R@10· 2019-04-11
Reasoning Visual Dialogs with Structural and Partial Observations Code
#42DLC-4
87.42
R@10
No paper
#43NMNSOTA
86.88
R@10· 2017-04-18
Learning to Reason: End-to-End Module Networks for Visual Question Answering Code
#44jkl
86.48
R@10
No paper
#45sdfsdaf
86.42
R@10
No paper
#46ensemble, finetune
84.52
R@10
No paper
#47P1P2+Distill+Ensemble
83.78
R@10
No paper
#48bert-double-stream-finetuning
83.33
R@10
No paper
#49MN-QIH-DSOTA
83.3
R@10· 2016-11-26
Visual Dialog Code
#50paratraining1epoch
83.1
R@10
No paper
#51MN-QIH-D
82.83
R@10· 2016-11-26
Visual Dialog Code
#52VD-PCR
82.75
R@10
No paper
#53Single
82.45
R@10
No paper
#541
82.4
R@10
No paper
#55shanshandu
82.38
R@10
No paper
#56Ensemble + Fine-tuning
82.17
R@10
No paper
#571
81.9
R@10
No paper
#581
81.73
R@10
No paper
#591
81.7
R@10
No paper
#607
81.62
R@10
No paper
#61HRE-QIH-D
81.5
R@10· 2016-11-26
Visual Dialog Code
#62Ensemble + Finetune
80.65
R@10· 2019-11-26
Efficient Attention Mechanism for Visual Dialog that can Handle All the Interactions between Multiple Inputs Code
#63CE-finetuned, single model
80
R@10
No paper
#64Disc, Dense, 4 Ensemble.
79.77
R@10
No paper
#65gat_disc_relto_4
79.72
R@10
No paper
#6610
78.25
R@10
No paper
#672
78.12
R@10
No paper
#68Ensemble
77.98
R@10
No paper
#695-2
77.75
R@10
No paper
#705_4
77.53
R@10
No paper
#7120
77.33
R@10
No paper
#722
76.55
R@10
No paper
#73simple_test
74.67
R@10
No paper
#74gat_disc_3
74.15
R@10
No paper
#755TS
70.12
R@10
No paper
#76mvan_len40_test
65.8
R@10
No paper
#77trainval_ch_9
61.7
R@10
No paper
#78czczx
53.05
R@10
No paper
#79qqhe
12.22
R@10
No paper